Aussie AI

Knowledge Graphs

Last Updated 17 November, 2025

by David Spuler, Ph.D.

Research on Knowledge Graphs

Research papers include:

Shenzhe Zhu, 6 May 2024, Exploring knowledge graph-based neural-symbolic system from application perspective, https://arxiv.org/abs/2405.03524 (Integrate knowledge graph and symbolic reasoning into neural networks.)
GG Klager, March 12, 2024, Is GPT fit for KGQA? Masters Thesis, Department of Information Systems & Operations Management, Vienna University of Economics and Business, https://aic.ai.wu.ac.at/~polleres/supervised_theses/Gerhard_Klager_MSc_2024.pdf
Louis-François Bouchard, Aug 12, 2024, When to Use GraphRAG, https://louisbouchard.substack.com/p/when-to-use-graphrag
Bhaskarjit Sarmah, Benika Hall, Rohan Rao, Sunil Patel, Stefano Pasquali, Dhagash Mehta, 9 Aug 2024, HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction, https://arxiv.org/abs/2408.04948
Dr. Ashish Bamania, Aug 2024, ‘MedGraphRAG’ Is A Complete Game Changer For AI In Medicine A deep-dive into how RAG, GraphRAG, and MedGraphRAG work and how they significantly improve the performance of LLM responses in Medicine, https://levelup.gitconnected.com/medgraphrag-is-a-complete-game-changer-for-ai-in-medicine-c6b41b0effd6
Junde Wu, Jiayuan Zhu, Yunli Qi, 8 Aug 2024, Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation, https://arxiv.org/abs/2408.04187 Code: https://github.com/MedicineToken/Medical-Graph-RAG/tree/main
Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao, 26 May 2024, GRAG: Graph Retrieval-Augmented Generation, https://arxiv.org/abs/2405.16506
Philip Rathle, Jul 11, 2024, The GraphRAG Manifesto: Adding Knowledge to GenAI, https://neo4j.com/blog/graphrag-manifesto/
Microsoft, Aug 2024 (accessed), GraphRAG: A modular graph-based Retrieval-Augmented Generation (RAG) system, https://github.com/microsoft/graphrag
Harry Li, Gabriel Appleby, Ashley Suh, 7 Jun 2024, LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering, https://arxiv.org/abs/2406.06621
Xuan Chen, Tong Lu, Zhichun Wang, 6 Dec 2024, LLM-Align: Utilizing Large Language Models for Entity Alignment in Knowledge Graphs, https://arxiv.org/abs/2412.04690
Lei Liang, Mengshu Sun, Zhengke Gui, Zhongshu Zhu, Zhouyu Jiang, Ling Zhong, Yuan Qu, Peilong Zhao, Zhongpu Bo, Jin Yang, Huaidong Xiong, Lin Yuan, Jun Xu, Zaoyang Wang, Zhiqiang Zhang, Wen Zhang, Huajun Chen, Wenguang Chen, Jun Zhou, 26 Sep 2024 (v3), KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation, https://arxiv.org/abs/2409.13731
Mayi Xu, Yunfeng Ning, Yongqi Li, Jianhao Chen, Jintao Wen, Yao Xiao, Shen Zhou, Birong Pan, Zepeng Bao, Xin Miao, Hankun Kang, Ke Sun, Tieyun Qian, 2 Jan 2025, Reasoning based on symbolic and parametric knowledge bases: a survey, https://arxiv.org/abs/2501.01030 (Extensive survey of reasoning from CoT to knowledge graphs to table-based reasoning.)
Alhassan Mumuni, Fuseini Mumuni, 6 Jan 2025, Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches, https://arxiv.org/abs/2501.03151
Aidan Hogan, Xin Luna Dong, Denny Vrandečić, Gerhard Weikum, 12 Jan 2025, Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions, https://arxiv.org/abs/2501.06699 (Classic search engines versus LLMs with knowledge graphs with a categorization of search use cases.)
Tiesunlong Shen, Jin Wang1, Xuejie Zhang, Erik Cambria, Jan 2025, Reasoning with Trees: Faithful Question Answering over Knowledge Graph, Proceedings of the 31st International Conference on Computational Linguistics, pages 3138–3157 January 19–24, 2025, Association for Computational Linguistics, https://aclanthology.org/2025.coling-main.211.pdf
Yuxing Lu, Sin Yee Goi, Xukai Zhao, Jinzhuo Wang, 22 Jan 2025 (v2), Biomedical Knowledge Graph: A Survey of Domains, Tasks, and Real-World Applications, https://arxiv.org/abs/2501.11632
Maria Korolov, 29 Jan 2025, Knowledge graphs: the missing link in enterprise AI, CIO, https://www.cio.com/article/3808569/knowledge-graphs-the-missing-link-in-enterprise-ai.html
Junde Wu, Jiayuan Zhu, Yuyuan Liu, 7 Feb 2025, Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research, https://arxiv.org/abs/2502.04644 https://github.com/theworldofagents/Agentic-Reasoning
Pengcheng Huang, Zhenghao Liu, Yukun Yan, Xiaoyuan Yi, Hao Chen, Zhiyuan Liu, Maosong Sun, Tong Xiao, Ge Yu, Chenyan Xiong, 21 Feb 2025, PIP-KAG: Mitigating Knowledge Conflicts in Knowledge-Augmented Generation via Parametric Pruning, https://arxiv.org/abs/2502.15543
Han Zhang, Langshi Zhou, Hanfang Yang, 20 Feb 2025, Learning to Retrieve and Reason on Knowledge Graph through Active Self-Reflection, https://arxiv.org/abs/2502.14932
Anastasios Nentidis, Charilaos Akasiadis, Angelos Charalambidis, Alexander Artikis, 26 Feb 2025, Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey, https://arxiv.org/abs/2502.19023
R Chen, Mar 2025, Retrieval-Augmented Generation with Knowledge Graphs: A Survey Computer Science Undergradaute Conference 2025, https://openreview.net/pdf?id=ZikTuGY28C
Khorashadizadeh Hanieh, Amara Fatima Zahra, Ezzabady Morteza, Ieng Frédéric, Tiwari Sanju, et al.. Research Trends for the Interplay between Large Language Models and Knowledge Graphs. 1st International Workshop on Data Management Opportunities in Unifying Large Language Models + Knowledge Graph. Workshop at the 50th International Conference on Very Large Data Bases (VLDB 2024), Aug 2024, Guangzhou, China. hal-04770598 https://hal.science/hal-04770598/document
Ziheng Zhang, Zhenxi Lin, Yefeng Zheng, and Xian Wu. 2025. How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs. In Proceedings of the ACM on Web Conference 2025 (WWW '25). Association for Computing Machinery, New York, NY, USA, 5330–5341. https://doi.org/10.1145/3696410.3714535 https://dl.acm.org/doi/abs/10.1145/3696410.3714535 https://dl.acm.org/doi/pdf/10.1145/3696410.3714535
Chuzhan Hao, Wenfeng Feng, Yuewei Zhang, Hao Wang, 23 Jul 2025, DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning, https://arxiv.org/abs/2507.17365
Qikai Wei and Huansheng Ning and Chunlong Han and Jianguo Ding, 7 Jul 2025, A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models, https://arxiv.org/abs/2507.16826
Mingda Zhang, Na Zhao, Jianglong Qin, Guoyu Ye, Ruixiang Tang, 22 Jul 2025, A Multi-granularity Concept Sparse Activation and Hierarchical Knowledge Graph Fusion Framework for Rare Disease Diagnosis, https://arxiv.org/abs/2507.08529
Junming Liu, Siyuan Meng, Yanting Gao, Song Mao, Pinlong Cai, Guohang Yan, Yirong Chen, Zilin Bian, Ding Wang, Botian Shi, 24 Jul 2025, Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning, https://arxiv.org/abs/2503.12972
Bhishma Dedhia, Yuval Kansal, Niraj K. Jha, 18 Jul 2025, Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need, https://arxiv.org/abs/2507.13966
Arief Purnama Muharram and Ayu Purwarianti, 21 Jul 2025, Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language, https://arxiv.org/abs/2409.00061
Xueli Pan, Victor de Boer, Jacco van Ossenbruggen, 14 Aug 2025, FIRESPARQL: A LLM-based Framework for SPARQL Query Generation over Scholarly Knowledge Graphs, https://arxiv.org/abs/2508.10467
Rishi Parekh, Saisubramaniam Gopalakrishnan, Zishan Ahmad, Anirudh Deodhar, 23 Jul 2025, Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance, https://arxiv.org/abs/2507.17273
Aleksandr Perevalov, Andreas Both, 22 Jul 2025, Text-to-SPARQL Goes Beyond English: Multilingual Question Answering Over Knowledge Graphs through Human-Inspired Reasoning, https://arxiv.org/abs/2507.16971
Haoran Jiang, Shaohan Shi, Yunjie Yao, Chang Jiang, Quan Li, 23 Jul 2025, HypoChainer: A Collaborative System Combining LLMs and Knowledge Graphs for Hypothesis-Driven Scientific Discovery, https://arxiv.org/abs/2507.17209
Jianhao Chen, Junyang Ren, Wentao Ding, Haoyuan Ouyang, Wei Hu, Yuzhong Qu, 23 Jul 2025, Conflict Detection for Temporal Knowledge Graphs:A Fast Constraint Mining Algorithm and New Benchmarks, https://arxiv.org/abs/2312.11053
Adrian Kaiser and Claudiu Leoveanu-Condrei and Ryan Gold and Marius-Constantin Dinu and Markus Hofmarcher, 23 Jul 2025, HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs, https://arxiv.org/abs/2507.15917
Jean Lelong, Adnane Errazine and Annabelle Blangero, 22 Jul 2025, Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applications, https://arxiv.org/abs/2507.16507
Mingda Zhang, Na Zhao, Jianglong Qing, Qing xu, Kaiwen Pan, Ting luo, 22 Jul 2025, An Integrated Framework of Prompt Engineering and Multidimensional Knowledge Graphs for Legal Dispute Analysis, https://arxiv.org/abs/2507.07893
Yuxin Zhang (1), Xi Wang (1), Mo Hu (1), Zhenyu Zhang (1) ((1) Department of Construction Science, College of Architecture, Texas A&M University, College Station, USA), 18 Jul 2025, BifrostRAG: Bridging Dual Knowledge Graphs for Multi-Hop Question Answering in Construction Safety, https://arxiv.org/abs/2507.13625
Nur A Zarin Nishat, Andrea Coletta, Luigi Bellomarini, Kossi Amouzouvi, Jens Lehmann, Sahar Vahdati, 17 Jul 2025, Aligning Knowledge Graphs and Language Models for Factual Accuracy, https://arxiv.org/abs/2507.13411
Hosein Azarbonyad, Zi Long Zhu, Georgios Cheirmpos, Zubair Afzal, Vikrant Yadav, Georgios Tsatsaronis, 18 Jul 2025, Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language Models, https://arxiv.org/abs/2507.13827
Akash Bajwa and Chia Jeng Yang, May 27, 2024, The RAG Stack: Featuring Knowledge Graphs: Reducing Hallucinations To Make LLMs Production-Grade With Complex RAG, https://akashbajwa.substack.com/p/the-rag-stack-featuring-knowledge
Igor Novikov, Jul 23, 2024, RAG Architecture: Advanced RAG, https://pub.towardsai.net/rag-architecture-advanced-rag-3fea83e0d189
Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley, 31 Oct 2024, OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models, https://arxiv.org/abs/2410.23703
Jaikrishna Manojkumar Patil, Nathaniel Lee, Al Mehdi Saadat Chowdhury, YooJung Choi, Paulo Shakarian, 8 Aug 2025, Probabilistic Circuits for Knowledge Graph Completion with Reduced Rule Sets, https://arxiv.org/abs/2508.06706
Yongkang Xiao, Rui Zhang, 8 Aug 2025, HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs, https://arxiv.org/abs/2506.00826
Yuzhang Xie, Xu Han, Ran Xu, Xiao Hu, Jiaying Lu, Carl Yang, 26 Jul 2025, HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare, https://arxiv.org/abs/2507.19726
Alec Scully, Cameron Stockton, and Forrest Hare, 26 Jul 2025, Integrating Activity Predictions in Knowledge Graphs, https://arxiv.org/abs/2507.19733
Keyan Ding, Jing Yu, Junjie Huang, Yuchen Yang, Qiang Zhang, Huajun Chen, 27 Jul 2025, SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration, https://arxiv.org/abs/2507.20280
Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, and Ke Ji, 28 Jul 2025, Unlearning of Knowledge Graph Embedding via Preference Optimization, https://arxiv.org/abs/2507.20566
Lijian Li, 28 Jul 2025, Complementarity-driven Representation Learning for Multi-modal Knowledge Graph Completion, https://arxiv.org/abs/2507.20620
Xueyao Wan, Hang Yu, 28 Jul 2025, MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphs, https://arxiv.org/abs/2507.20804
Enjun Du, Siyi Liu, Yongqi Zhang, 28 Jul 2025, Mixture of Length and Pruning Experts for Knowledge Graphs Reasoning, https://arxiv.org/abs/2507.20498
Wenbin Guo, Xin Wang, Jiaoyan Chen, Zhao Li and Zirui Chen, 28 Jul 2025, Ontology-Enhanced Knowledge Graph Completion using Large Language Models, https://arxiv.org/abs/2507.20643
Muhammad Tayyab Khan, Lequn Chen, Wenhe Feng and Seung Ki Moon, 28 Jul 2025, Large Language Model Powered Decision Support for a Metal Additive Manufacturing Knowledge Graph, https://arxiv.org/abs/2505.20308
Hao Ye, Mengshi Qi, Zhaohong Liu, Liang Liu and Huadong Ma, 29 Jul 2025, SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation, https://arxiv.org/abs/2507.21585
Alessandro Lonardi and Samy Badreddine and Tarek R. Besold and Pablo Sanchez Martin, 29 Jul 2025, Unifying Post-hoc Explanations of Knowledge Graph Completions, https://arxiv.org/abs/2507.22951
Nasim Shirvani-Mahdavi, Devin Wingfield, Amin Ghasemi, Chengkai Li, 31 Jul 2025, Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs, https://arxiv.org/abs/2507.23740
Jiaxin Bai, Wei Fan, Qi Hu, Qing Zong, Chunyang Li, Hong Ting Tsang, Hongyu Luo, Yauwai Yim, Haoyu Huang, Xiao Zhou, Feng Qin, Tianshi Zheng, Xi Peng, Xin Yao, Huiwen Yang, Leijie Wu, Yi Ji, Gong Zhang, Renhai Chen, Yangqiu Song, 31 Jul 2025, AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora, https://arxiv.org/abs/2505.23628
Tung-Wei Lin, Gabe Fierro, Han Li, Tianzhen Hong, Pierluigi Nuzzo, Alberto Sangiovanni-Vinentelli, 30 Jul 2025, Systematic Evaluation of Knowledge Graph Repair with Large Language Models, https://arxiv.org/abs/2507.22419
Thanh Hoang-Minh, 30 Jul 2025, Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs, https://arxiv.org/abs/2507.03947
Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov, 1 Aug 2025, ExeKGLib: A Platform for Machine Learning Analytics based on Knowledge Graphs, https://arxiv.org/abs/2508.00394
Yuanyuan Liang, Xiaoman Wang, Tingyu Xie, and Lei Pan, 3 Aug 2025, ProKG-Dial: Progressive Multi-Turn Dialogue Construction with Domain Knowledge Graphs, https://arxiv.org/abs/2508.01869
Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, and Philip S. Yu, 31 Jul 2025, OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction, https://arxiv.org/abs/2508.00933
Xiang Li, Penglei Sun, Wanyun Zhou, Zikai Wei, Yongqi Zhang, Xiaowen Chu, 1 Aug 2025, FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph, https://arxiv.org/abs/2508.00961
Wei Zhou, Peng Sun, Xuanhe Zhou, Qianglei Zang, Ji Xu, Tieying Zhang, Guoliang Li, Fan Wu, 2 Aug 2025, DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs, https://arxiv.org/abs/2508.01136
Yang Zhao, Chengxiao Dai, Wei Zhuo, Tan Chuan Fu, Yue Xiu, Dusit Niyato, Jonathan Z. Low, Eugene Ho Hong Zhuang, Daren Zong Loong Tan, 3 Aug 2025, AGENTICT$^2$S:Robust Text-to-SPARQL via Agentic Collaborative Reasoning over Heterogeneous Knowledge Graphs for the Circular Economy, https://arxiv.org/abs/2508.01815
Linyu Li, Zhi Jin, Yuanpeng He, Dongming Jin, Yichi Zhang, Haoran Duan, Nyima Tash, 4 Aug 2025, Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding, https://arxiv.org/abs/2508.02426
Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, M\'onica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Irene Li, 5 Aug 2025, AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots, https://arxiv.org/abs/2508.02999
Taine J. Elliott, Stephen P. Levitt, Ken Nixon and Martin Bekker, 5 Aug 2025, Data Overdose? Time for a Quadruple Shot: Knowledge Graph Construction using Enhanced Triple Extraction, https://arxiv.org/abs/2508.03438
Yubo Wang, Shimin Di, Zhili Wang, Haoyang Li, Fei Teng, Hao Xin and Lei Chen, 5 Aug 2025, Understanding the Embedding Models on Hyper-relational Knowledge Graph, https://arxiv.org/abs/2508.03280
Ge Shi, Kaiyu Huang, Guochen Feng, 5 Aug 2025, Long Story Generation via Knowledge Graph and Literary Theory, https://arxiv.org/abs/2508.03137
Futian Wang, Yuhan Qiao, Xiao Wang, Fuling Wang, Yuxiang Zhang, Dengdi Sun, 5 Aug 2025, R2GenKG: Hierarchical Multi-modal Knowledge Graph for LLM-based Radiology Report Generation, https://arxiv.org/abs/2508.03426
Nandana Mihindukulasooriya, Niharika S. D'Souza, Faisal Chowdhury, Horst Samulowitz, 4 Aug 2025, Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Study, https://arxiv.org/abs/2506.19773
Hudson de Martim, 5 Aug 2025, A Foundational Schema.org Mapping for a Legal Knowledge Graph: Representing Brazilian Legal Norms as FRBR Works, https://arxiv.org/abs/2508.00827
Ruochen Zhao, Simone Conia, Eric Peng, Min Li, Saloni Potdar, 6 Aug 2025, AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities, https://arxiv.org/abs/2508.04118
Qian Yong, Yanhui Li, Jialiang Shi, Yaguang Dou, Tian Qi, 6 Aug 2025, Enhancing Serendipity Recommendation System by Constructing Dynamic User Knowledge Graphs with Large Language Models, https://arxiv.org/abs/2508.04032
Krzysztof Olejniczak, Xingyue Huang, Mikhail Galkin, \.Ismail \.Ilkan Ceylan, 5 Aug 2025, One Model, Any Conjunctive Query: Graph Neural Networks for Answering Queries over Incomplete Knowledge Graphs, https://arxiv.org/abs/2409.13959
Ge Chang, Jinbo Su, Jiacheng Liu, Pengfei Yang, Yuhao Shang, Huiwen Zheng, Hongli Ma, Yan Liang, Yuanchun Li, Yunxin Liu, 7 Aug 2025, GRAIL:Learning to Interact with Large Knowledge Graphs for Retrieval Augmented Reasoning, https://arxiv.org/abs/2508.05498
Claudia d'Amato, Ivan Diliso, Nicola Fanizzi, Zafar Saeed, 7 Aug 2025, Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models, https://arxiv.org/abs/2508.05587
Xu Yuan, Liangbo Ning, Wenqi Fan, Qing Li, 7 Aug 2025, mKG-RAG: Multimodal Knowledge Graph-Enhanced RAG for Visual Question Answering, https://arxiv.org/abs/2508.05318
Claudia dAmato, Giuseppe Rubini, Francesco Didio, Donato Francioso, Fatima Zahra Amara, Nicola Fanizzi, 8 Aug 2025, Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned, https://arxiv.org/abs/2508.06368
Siamak Farshidi and Amir Saberhabibi and Behbod Eskafi and Niloofar Nikfarjam and Sadegh Eskandari and Slinger Jansen and Michel Chaudron and Bedir Tekinerdogan, 6 Aug 2025, Empirical Evaluation of AI-Assisted Software Package Selection: A Knowledge Graph Approach, https://arxiv.org/abs/2508.05693
Congmin Min, Rhea Mathew, Joyce Pan, Sahil Bansal, Abbas Keshavarzi, Amar Viswanathan Kannan, 7 Aug 2025, Efficient Knowledge Graph Construction and Retrieval from Unstructured Text for Large-Scale RAG Systems, https://arxiv.org/abs/2507.03226
Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Hongkuan Zhou, Yuan He, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab, 11 Aug 2025, What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge, https://arxiv.org/abs/2508.08344
Roberto Barile, Claudia d'Amato, Nicola Fanizzi, 12 Aug 2025, GRainsaCK: a Comprehensive Software Library for Benchmarking Explanations of Link Prediction Tasks on Knowledge Graphs, https://arxiv.org/abs/2508.08815
Bhavik Agarwal, Hemant Sunil Jomraj, Simone Kaplunov, Jack Krolick, Viktoria Rojkova, 13 Aug 2025, RAGulating Compliance: A Multi-Agent Knowledge Graph for Regulatory QA, https://arxiv.org/abs/2508.09893
Yuheng Wang, Tianze Yu, Jiayue Cai, Sunil Kalia, Harvey Lui, Z. Jane Wang, Tim K. Lee, 13 Aug 2025, Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the 7-Point Checklist, https://arxiv.org/abs/2407.16822
Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu, 15 Aug 2025, SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding, https://arxiv.org/abs/2508.11347
Nasim Shirvani-Mahdavi, Chengkai Li, 14 Aug 2025, Rule2Text: A Framework for Generating and Evaluating Natural Language Explanations of Knowledge Graph Rules, https://arxiv.org/abs/2508.10971
Duzhen Zhang, Zixiao Wang, Zhong-Zhi Li, Yahan Yu, Shuncheng Jia, Jiahua Dong, Haotian Xu, Xing Wu, Yingying Zhang, Tielin Zhang, Jie Yang, Xiuying Chen, Le Song, 17 Aug 2025, MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph, https://arxiv.org/abs/2508.12393
Ziteng Hu, Yingjie Xia, Xiyuan Chen, Li Kuang, 18 Aug 2025, SecFSM: Knowledge Graph-Guided Verilog Code Generation for Secure Finite State Machines in Systems-on-Chip, https://arxiv.org/abs/2508.12910
Hung Nghiep Tran, Atsuhiro Takasu, 15 Aug 2025, Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space, https://arxiv.org/abs/1909.08191
Daniel Daza, Alberto Bernardi, Luca Costabello, Christophe Gueret, Masoud Mansoury, Michael Cochez, Martijn Schut, 19 Aug 2025, Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints, https://arxiv.org/abs/2508.13663
Mariam Arustashvili, J\"org Deigm\"oller, Heiko Paulheim, 19 Aug 2025, Knowledge Graph Completion for Action Prediction on Situational Graphs -- A Case Study on Household Tasks, https://arxiv.org/abs/2508.13675
Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui, 19 Aug 2025, Efficient Knowledge Graph Unlearning with Zeroth-order Information, https://arxiv.org/abs/2508.14013
Peilin Ji, Xiao Xue, Simeng Wang, Wenhao Yan, 20 Aug 2025, Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration, https://arxiv.org/abs/2508.14654
Dennis Schiese, Aleksandr Perevalov, Andreas Both, 20 Aug 2025, Towards LLM-generated explanations for Component-based Knowledge Graph Question Answering Systems, https://arxiv.org/abs/2508.14553
Haji Gul, Abul Ghani Naim, Ajaz Ahmad Bhat, 21 Aug 2025, Evaluating Knowledge Graph Complexity via Semantic, Spectral, and Structural Metrics for Link Prediction, https://arxiv.org/abs/2508.15291
Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin, 21 Aug 2025, Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering, https://arxiv.org/abs/2502.11491
Nan Wang, Yongqi Fan, yansha zhu, ZongYu Wang, Xuezhi Cao, Xinyan He, Haiyun Jiang, Tong Ruan, Jingping Liu, 12 Aug 2025, KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration, https://arxiv.org/abs/2508.15790
Ryoma Kondo, Riona Matsuoka, Takahiro Yoshida, Kazuyuki Yamasawa, Ryohei Hisano, 24 Aug 2025, Capturing Legal Reasoning Paths from Facts to Law in Court Judgments using Knowledge Graphs, https://arxiv.org/abs/2508.17340
Yitong Lin, Jiaying He, Jiahe Chen, Xinnan Zhu, Jianwei Zheng, Tao Bo, 22 Jul 2025, BioGraphFusion: Graph Knowledge Embedding for Biological Completion and Reasoning, https://arxiv.org/abs/2507.14468
Jialiang Wang, Hanmo Liu, Shimin Di, Zhili Wang, Jiachuan Wang, Lei Chen, Xiaofang Zhou, 21 Jul 2025, Proficient Graph Neural Network Design by Accumulating Knowledge on Large Language Models, https://arxiv.org/abs/2408.06717
Mubaris Nadeem, Johannes Zenkert, Lisa Bender, Christian Weber, Madjid Fathi, 11 Aug 2025, KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations, https://arxiv.org/abs/2508.07834
Yaoze Zhang, Rong Wu, Pinlong Cai, Xiaoman Wang, Guohang Yan, Song Mao, Ding Wang, Botian Shi, 14 Aug 2025, LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval, https://arxiv.org/abs/2508.10391
Robert Frenken, Sidra Ghayour Bhatti, Hanqin Zhang, Qadeer Ahmed, 25 Jul 2025, KD-GAT: Combining Knowledge Distillation and Graph Attention Transformer for a Controller Area Network Intrusion Detection System, https://arxiv.org/abs/2507.19686
Zhaoyan Wang, Hyunjun Ahn, In-Young Ko, 28 Jul 2025, Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems, https://arxiv.org/abs/2507.20578
Zhen Wu, Ritam Dutt, Luke M. Breitfeller, Armineh Nourbakhsh, Siddharth Parekh, Carolyn Ros\'e, 2 Aug 2025, $R^2$-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation, https://arxiv.org/abs/2508.01475
Jiayi Wen, Tianxin Chen, Zhirun Zheng, Cheng Huang, 6 Aug 2025, A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models, https://arxiv.org/abs/2508.04276
Zhu Xu, Ting Lei, Zhimin Li, Guan Wang, Qingchao Chen, Yuxin Peng, Yang liu, 7 Aug 2025, TRKT: Weakly Supervised Dynamic Scene Graph Generation with Temporal-enhanced Relation-aware Knowledge Transferring, https://arxiv.org/abs/2508.04943
Daniel Airinei, Elena Burceanu, Marius Leordeanu, 15 Aug 2025, Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation, https://arxiv.org/abs/2508.11446
Bowen Wang, Zhouqiang Jiang, Yasuaki Susumu, Shotaro Miwa, Tianwei Chen, Yuta Nakashima, 25 Aug 2025, Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown, https://arxiv.org/abs/2506.17589
Zahra Zehtabi Sabeti Moghaddam, Zeinab Dehghani, Maneeha Rani, Koorosh Aslansefat, Bhupesh Kumar Mishra, Rameez Raja Kureshi, Dhavalkumar Thakker, 3 Sep 2025, Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE, https://arxiv.org/abs/2509.03626
Kishor Datta Gupta, Mohd Ariful Haque, Hasmot Ali, Marufa Kamal, Syed Bahauddin Alam, and Mohammad Ashiqur Rahman, 4 Sep 2025, Continuous Monitoring of Large-Scale Generative AI via Deterministic Knowledge Graph Structures, https://arxiv.org/abs/2509.03857
Shanglin Wu, Lihui Liu, Jinho D. Choi, Kai Shu, 31 Aug 2025, Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction, https://arxiv.org/abs/2509.03540
Zhaoyan Gong, Juan Li, Zhiqiang Liu, Lei Liang, Huajun Chen, Wen Zhang, 4 Sep 2025, RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models, https://arxiv.org/abs/2509.03995
Farnoosh Hashemi, Laks V.S. Lakshmanan, 4 Sep 2025, KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation, https://arxiv.org/abs/2509.04684
Zhangding Liu, Neda Mohammadi, and John E. Taylor, 5 Sep 2025, FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph, https://arxiv.org/abs/2509.04772
Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Zhiqi Shen, 5 Sep 2025, Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation, https://arxiv.org/abs/2408.05748
Nitin Nagesh Kulkarni, Bryson Wilcox, Max Sawa, Jason Thom, 25 Aug 2025, PKG-DPO: Optimizing Domain-Specific AI systems with Physics Knowledge Graphs and Direct Preference Optimization, https://arxiv.org/abs/2508.18391
Honghao Fu, Junlong Ren, Qi Chai, Deheng Ye, Yujun Cai, Hao Wang, 26 Aug 2025, VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft, https://arxiv.org/abs/2508.18722
Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, 28 Aug 2025, ExPath: Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation, https://arxiv.org/abs/2502.18026
Tingxuan Xu, Jiarui Feng, Justin Melendez, Kaleigh Roberts, Donghong Cai, Mingfang Zhu, Donald Elbert, Yixin Chen, Randall J. Bateman, 28 Aug 2025, Addressing accuracy and hallucination of LLMs in Alzheimer's disease research through knowledge graphs, https://arxiv.org/abs/2508.21238
Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, Yuan He, Jiaoyan Chen, Steffen Staab, Evgeny Kharlamov, 29 Aug 2025, Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness, https://arxiv.org/abs/2504.05163
Brian Wang, Mani Srivastava, 30 Aug 2025, SIGMUS: Semantic Integration for Knowledge Graphs in Multimodal Urban Spaces, https://arxiv.org/abs/2509.00287
Jiasheng Xu, Mingda Li, Yongqiang Tang, Peijie Wang, Wensheng Zhang, 1 Sep 2025, Towards Open-World Retrieval-Augmented Generation on Knowledge Graph: A Multi-Agent Collaboration Framework, https://arxiv.org/abs/2509.01238
Sergio Consoli, Pietro Coletti, Peter V. Markov, Lia Orfei, Indaco Biazzo, Lea Schuh, Nicolas Stefanovitch, Lorenzo Bertolini, Mario Ceresa, Nikolaos I. Stilianakis, 2 Sep 2025, An Epidemiological Knowledge Graph extracted from the World Health Organization's Disease Outbreak News, https://arxiv.org/abs/2509.02258
Susana Nunes, Samy Badreddine, Catia Pesquita, 2 Sep 2025, Rewarding Explainability in Drug Repurposing with Knowledge Graphs, https://arxiv.org/abs/2509.02276
Haimei Pan, Jiyun Zhang, Qinxi Wei, Xiongnan Jin, Chen Xinkai, Jie Cheng, 25 Aug 2025, Robotic Fire Risk Detection based on Dynamic Knowledge Graph Reasoning: An LLM-Driven Approach with Graph Chain-of-Thought, https://arxiv.org/abs/2509.00054
Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan, 1 Sep 2025, Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning, https://arxiv.org/abs/2509.01166
Madan Krishnamurthy, Surya Saha, Pierrette Lo, Patricia L. Whetzel, Tursynay Issabekova, Jamed Ferreris Vargas, Jack DiGiovanna, Melissa A Haendel, 1 Sep 2025, Enabling Down Syndrome Research through a Knowledge Graph-Driven Analytical Framework, https://arxiv.org/abs/2509.01565
Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He, 1 Sep 2025, APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs, https://arxiv.org/abs/2412.17336
Siyuan Li, Ruitong Liu, Yan Wen, Te Sun, Andi Zhang, Yanbiao Ma, Xiaoshuai Hao, 30 Aug 2025, Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion, https://arxiv.org/abs/2506.23137
Qurat Ul Ain and Mohamed Amine Chatti and Jean Qussa and Amr Shakhshir and Rawaa Alatrash and Shoeb Joarder, 5 Sep 2025, An Optimized Pipeline for Automatic Educational Knowledge Graph Construction, https://arxiv.org/abs/2509.05392
Rawaa Alatrash and Mohamed Amine Chatti and Nasha Wibowo and Qurat Ul Ain, 5 Sep 2025, Inferring Prerequisite Knowledge Concepts in Educational Knowledge Graphs: A Multi-criteria Approach, https://arxiv.org/abs/2509.05393
Mengxue Yang, Chun Yang, Jiaqi Zhu, Jiafan Li, Jingqi Zhang, Yuyang Li, Ying Li, 8 Sep 2025, SLiNT: Structure-aware Language Model with Injection and Contrastive Training for Knowledge Graph Completion, https://arxiv.org/abs/2509.06531
Manit Baser, Dinil Mon Divakaran, Mohan Gurusamy, 6 Sep 2025, ThinkEval: Practical Evaluation of Knowledge Leakage in LLM Editing using Thought-based Knowledge Graphs, https://arxiv.org/abs/2506.01386
Hamid Ahmad, Heiko Paulheim, Rita T. Sousa, 9 Sep 2025, Bio-KGvec2go: Serving up-to-date Dynamic Biomedical Knowledge Graph Embeddings, https://arxiv.org/abs/2509.07905
Andrey Sakhovskiy, Elena Tutubalina, 9 Sep 2025, BALI: Enhancing Biomedical Language Representations through Knowledge Graph and Language Model Alignment, https://arxiv.org/abs/2509.07588
Fernando Spadea and Oshani Seneviratne, 8 Sep 2025, Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations, https://arxiv.org/abs/2509.07133
Hudson de Martim, 9 Sep 2025, Modeling the Diachronic Evolution of Legal Norms: An LRMoo-Based, Component-Level, Event-Centric Approach to Legal Knowledge Graphs, https://arxiv.org/abs/2506.07853
Mingyang Li, Viktor Schlegel, Tingting Mu, Warren Del-Pinto, Goran Nenadic, 4 Sep 2025, Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs, https://arxiv.org/abs/2509.09699
Vaibhav Chaudhary, Neha Soni, Narotam Singh, Amita Kapoor, 11 Sep 2025, Fusing Knowledge and Language: A Comparative Study of Knowledge Graph-Based Question Answering with LLMs, https://arxiv.org/abs/2509.09272
Julia Gastinger, Christian Meilicke, Heiner Stuckenschmidt, 11 Sep 2025, CountTRuCoLa: Rule Confidence Learning for Temporal Knowledge Graph Forecasting, https://arxiv.org/abs/2509.09474
Vadim Zadykian, Bruno Andrade and Haithem Afli, 11 Sep 2025, Towards Explainable Job Title Matching: Leveraging Semantic Textual Relatedness and Knowledge Graphs, https://arxiv.org/abs/2509.09522
Junhong Lin, Song Wang, Xiaojie Guo, Julian Shun, Yada Zhu, 18 Sep 2025, Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs, https://arxiv.org/abs/2509.15464
Arvindh Arun, Sumit Kumar, Mojtaba Nayyeri, Bo Xiong, Ponnurangam Kumaraguru, Antonio Vergari, Steffen Staab, 19 Sep 2025, SEMMA: A Semantic Aware Knowledge Graph Foundation Model, https://arxiv.org/abs/2505.20422
Mengzheng Yang, Yanfei Ren, David Osei Opoku, Ruochang Li, Peng Ren, Chunxiao Xing, 22 Aug 2025, DSRAG: A Domain-Specific Retrieval Framework Based on Document-derived Multimodal Knowledge Graph, https://arxiv.org/abs/2509.10467
Haodi Ma, Dzmitry Kasinets, Daisy Zhe Wang, 15 Sep 2025, Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts, https://arxiv.org/abs/2501.15688
Alberto Cattaneo, Stephen Bonner, Thomas Martynec, Edward Morrissey, Carlo Luschi, Ian P Barrett, Daniel Justus, 18 Sep 2025, The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models, https://arxiv.org/abs/2409.04103
Chenjun Li, Laurin Lux, Alexander H. Berger, Martin J. Menten, Mert R. Sabuncu, Johannes C. Paetzold, 17 Sep 2025, Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis, https://arxiv.org/abs/2503.09808
Michael Kishelev, Pranab Bhadani, Wanying Ding, Vinay Chaudhri, 9 Sep 2025, JEL: A Novel Model Linking Knowledge Graph entities to News Mentions, https://arxiv.org/abs/2509.08086
Przemys{\l}aw Stok{\l}osa, Janusz A. Starzyk, Pawe{\l} Raif, Adrian Horzyk, Marcin Kowalik, 9 Sep 2025, Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval, https://arxiv.org/abs/2411.14480
Siyuan Li, Yan Wen, Ruitong Liu, Te Sun, Ruihao Zhou, Jingyi Kang, Yunjia Wu, 10 Sep 2025, Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing, https://arxiv.org/abs/2506.23141
Minh Pham Dinh, Munira Syed, Michael G Yankoski, Trenton W. Ford, 17 Sep 2025, DAVIS: Planning Agent with Knowledge Graph-Powered Inner Monologue, https://arxiv.org/abs/2410.09252
Luca Cotti, Idilio Drago, Anisa Rula, Devis Bianchini and Federico Cerutti, 1 Oct 2025, OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models, https://arxiv.org/abs/2510.01409
Madina Bekbergenova (ICN), Lucas Pradi (ICN), Benjamin Navet (ICN), Emma Tysinger (ICN), Franck Michel (WIMMICS), Matthieu Feraud (ICN), Yousouf Taghzouti (ICN, WIMMICS), Yan Zhou Chen, Olivier Kirchhoffer (UNIGE), Florence Mehl (SIB), Martin Legrand (ICN), Tao Jiang (ICN), Marco Pagni (SIB), Soha Hassoun, Jean-Luc Wolfender (UNIGE), Wout Bittremieux (UA), Fabien Gandon (WIMMICS, Laboratoire I3S - SPARKS), Louis-F\'elix Nothias (CNRS, UniCA, ICN), 2 Oct 2025, MetaboT: AI-based agent for natural language-based interaction with metabolomics knowledge graphs, https://arxiv.org/abs/2510.01724
Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael Bronstein, Seunghoon Hong, \.Ismail \.Ilkan Ceylan, 1 Oct 2025, Flock: A Knowledge Graph Foundation Model via Learning on Random Walks, https://arxiv.org/abs/2510.01510
Can Lin, Zhengwang Jiang, Ling Zheng, Qi Zhao, Yuhang Zhang, Qi Song, Wangqiu Zhou, 25 Sep 2025, RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs, https://arxiv.org/abs/2510.01257
Mohamad Al Mdfaa, Svetlana Lukina, Timur Akhtyamov, Arthur Nigmatzyanov, Dmitrii Nalberskii, Sergey Zagoruyko, Gonzalo Ferrer, 1 Oct 2025, VL-KnG: Visual Scene Understanding for Navigation Goal Identification using Spatiotemporal Knowledge Graphs, https://arxiv.org/abs/2510.01483
Basem Rizk, Joel Walsh, Mark Core and Benjamin Nye, 1 Oct 2025, From Videos to Indexed Knowledge Graphs -- Framework to Marry Methods for Multimodal Content Analysis and Understanding, https://arxiv.org/abs/2510.01513
Felix Brei and Lorenz B\"uhmann and Johannes Frey and Daniel Gerber and Lars-Peter Meyer and Claus Stadler and Kirill Bulert, 2 Oct 2025, ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilities, https://arxiv.org/abs/2510.02200
Yongkang Xiao, Sinian Zhang, Yi Dai, Huixue Zhou, Jue Hou, Jie Ding, Rui Zhang, 2 Oct 2025, DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains, https://arxiv.org/abs/2506.00708
Bohui Zhang, Yuan He, Lydia Pintscher, Albert Mero\~no Pe\~nuela, Elena Simperl, 2 Oct 2025, Schema Generation for Large Knowledge Graphs Using Large Language Models, https://arxiv.org/abs/2506.04512
Zhangchi Qiu, Linhao Luo, Shirui Pan, Alan Wee-Chung Liew, 2 Oct 2025, Reasoning over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations, https://arxiv.org/abs/2411.14459
Samuel Abedu, SayedHassan Khatoonabadi, Emad Shihab, 2 Oct 2025, Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering, https://arxiv.org/abs/2412.03815
Yuechun Yu, Han Ying, Haoan Jin, Wenjian Jiang, Dong Xian, Binghao Wang, Zhou Yang, Mengyue Wu, 14 Oct 2025, MedKGEval: A Knowledge Graph-Based Multi-Turn Evaluation Framework for Open-Ended Patient Interactions with Clinical LLMs, https://arxiv.org/abs/2510.12224
Rita T. Sousa and Heiko Paulheim, 13 Oct 2025, Improving Knowledge Graph Embeddings through Contrastive Learning with Negative Statements, https://arxiv.org/abs/2510.11868
Chengyu Li and Debo Cheng and Guixian Zhang and Yi Li and Shichao Zhang, 14 Oct 2025, Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation, https://arxiv.org/abs/2412.00382
Yurun Chen, Xavier Hu, Yuhan Liu, Ziqi Wang, Zeyi Liao, Lin Chen, Feng Wei, Yuxi Qian, Bo Zheng, Keting Yin, Shengyu Zhang, 14 Oct 2025, Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs, https://arxiv.org/abs/2510.00507
Ran Liu, Yuan Fang, Xiaoli Li, 1 Oct 2025, FusionAdapter for Few-Shot Relation Learning in Multimodal Knowledge Graphs, https://arxiv.org/abs/2510.00894
Evan Heus, Rick Bookstaber, Dhruv Sharma, 1 Oct 2025, Exploring Network-Knowledge Graph Duality: A Case Study in Agentic Supply Chain Risk Analysis, https://arxiv.org/abs/2510.01115
Trung Hoang Le, Tran Cao Son, Huiping Cao, 30 Sep 2025, SLogic: Subgraph-Informed Logical Rule Learning for Knowledge Graph Completion, https://arxiv.org/abs/2510.00279
Jinyeop Song, Song Wang, Julian Shun, Yada Zhu, 1 Oct 2025, Efficient and Transferable Agentic Knowledge Graph RAG via Reinforcement Learning, https://arxiv.org/abs/2509.26383
Shengjie Liu, Li Dong, Zhenyu Zhang, 28 Oct 2025, Bridging Tool Dependencies and Domain Knowledge: A Graph-Based Framework for In-Context Planning, https://arxiv.org/abs/2510.24690
Edward Markai, Sina Molavipour, 28 Oct 2025, Temporal Knowledge Graph Hyperedge Forecasting: Exploring Entity-to-Category Link Prediction, https://arxiv.org/abs/2510.24240
Ashutosh Anshul, Mohammad Zia Ur Rehman, Sri Akash Kadali, Nagendra Kumar, 25 Oct 2025, RoGBot: Relationship-Oblivious Graph-based Neural Network with Contextual Knowledge for Bot Detection, https://arxiv.org/abs/2510.23648
Haonan Bian, 23 Oct 2025, LLM-empowered knowledge graph construction: A survey, https://arxiv.org/abs/2510.20345
Yiwen Peng (IP Paris), Thomas Bonald (IP Paris), Fabian M. Suchanek (IP Paris), 23 Oct 2025, FLORA: Unsupervised Knowledge Graph Alignment by Fuzzy Logic, https://arxiv.org/abs/2510.20467
Yanlin Song, Ben Liu, V\'ictor Guti\'errez-Basulto, Zhiwei Hu, Qianqian Xie, Min Peng, Sophia Ananiadou, Jeff Z. Pan, 23 Oct 2025, Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphs, https://arxiv.org/abs/2510.20691
Teng Jiek See, Daokun Zhang, Mario Boley and David K. Chalmers, 23 Oct 2025, Layer-to-Layer Knowledge Mixing in Graph Neural Network for Chemical Property Prediction, https://arxiv.org/abs/2510.20236
Sarah Rebecca Ondraszek (1, 2), J\"org Waitelonis (1), Katja Keller (3), Claudia Niessner (3), Anna M. Jacyszyn (1) and Harald Sack (1, 2) ((1) FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany, (2) Institute of Applied Informatics and Formal Description Methods (AIFB) of KIT, Karlsruhe, Germany, (3) Institute of Sports and Sports Science (IfSS) of KIT, Karlsruhe, Germany), 13 Oct 2025, Ontologies in Motion: A BFO-Based Approach to Knowledge Graph Construction for Motor Performance Research Data in Sports Science, https://arxiv.org/abs/2510.15983
Changhao Wang, Yanfang Liu, Xinxin Fan, Anzhi Zhou, Lao Tian, Yunfeng Lu, 18 Oct 2025, DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA, https://arxiv.org/abs/2510.16302
Crystal Su, 18 Oct 2025, MedRule-KG: A Knowledge-Graph--Steered Scaffold for Mathematical Reasoning with a Lightweight Verifier, https://arxiv.org/abs/2510.16309
Junchi Yu, Yujie Liu, Jindong Gu, Philip Torr, Dongzhan Zhou, 18 Oct 2025, Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?, https://arxiv.org/abs/2510.16582
Tianxing Wu, Shutong Zhu, Jingting Wang, Ning Xu, Guilin Qi, Haofen Wang, 18 Oct 2025, Uncertain Knowledge Graph Completion via Semi-Supervised Confidence Distribution Learning, https://arxiv.org/abs/2510.16601
Wei Huang, Peining Li, Meiyu Liang, Xu Hou, Junping Du, Yingxia Shao, Guanhua Ye, Wu Liu, Kangkang Lu, Yang Yu, 19 Oct 2025, ELMM: Efficient Lightweight Multimodal Large Language Models for Multimodal Knowledge Graph Completion, https://arxiv.org/abs/2510.16753
Chao Li, Yuru Wang, 19 Oct 2025, Domain-Contextualized Concept Graphs: A Computable Framework for Knowledge Representation, https://arxiv.org/abs/2510.16802
Dun Liu, Qin Pang, Guangai Liu, Hongyu Mou, Jipeng Fan, Yiming Miao, Pin-Han Ho, and Limei Peng, 19 Oct 2025, SNOMED CT-powered Knowledge Graphs for Structured Clinical Data and Diagnostic Reasoning, https://arxiv.org/abs/2510.16899
Yujie Luo, Zhuoyun Yu, Xuehai Wang, Yuqi Zhu, Ningyu Zhang, Lanning Wei, Lun Du, Da Zheng, Huajun Chen, 20 Oct 2025, Executable Knowledge Graphs for Replicating AI Research, https://arxiv.org/abs/2510.17795
Guiquan Sun, Xikun Zhang, Jingchao Ni, Dongjin Song, 19 Oct 2025, HERO: Heterogeneous Continual Graph Learning via Meta-Knowledge Distillation, https://arxiv.org/abs/2505.17458
Rong Wu, Pinlong Cai, Jianbiao Mei, Licheng Wen, Tao Hu, Xuemeng Yang, Daocheng Fu, Botian Shi, 20 Oct 2025, KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision, https://arxiv.org/abs/2506.00783
Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui, 20 Sep 2025, GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models, https://arxiv.org/abs/2509.16502
Nikhil N S (1), Amol Dilip Joshi (1 and 2), Bilal Muhammed (2), Soban Babu (2) ((1) Indian Institute of Science, Bengaluru, India, (2) TCS Research, Tata Consultancy Services Ltd.), 22 Sep 2025, A Knowledge Graph-based Retrieval-Augmented Generation Framework for Algorithm Selection in the Facility Layout Problem, https://arxiv.org/abs/2509.18054
Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang, 22 Sep 2025, Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities, https://arxiv.org/abs/2505.20099
Yassir Lairgi, Ludovic Moncla, Khalid Benabdeslem, R\'emy Cazabet, Pierre Cl\'eau, 26 Oct 2025, ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs, https://arxiv.org/abs/2510.22590
Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu and Yuan Fang, 26 Oct 2025, Diversified and Adaptive Negative Sampling on Knowledge Graphs, https://arxiv.org/abs/2410.07592
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab, 15 Oct 2025, Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning, https://arxiv.org/abs/2510.13675
Ahmed Jaber, Wangshu Zhu, Karthick Jayavelu, Justin Downes, Sameer Mohamed, Candace Agonafir, Linnia Hawkins, Tian Zheng, 25 Sep 2025, AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need, https://arxiv.org/abs/2509.21553
Hugh Xuechen Liu, K{\i}van\c{c} Tatar, 26 Sep 2025, AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs, https://arxiv.org/abs/2509.22017
Haoyu Huang, Chong Chen, Zeang Sheng, Yang Li, Wentao Zhang, 26 Sep 2025, Can LLMs be Good Graph Judge for Knowledge Graph Construction?, https://arxiv.org/abs/2411.17388
Mike Zhang and Johannes Bjerva and Russa Biswas, 26 Sep 2025, Follow the Path: Reasoning over Knowledge Graph Paths to Improve LLM Factuality, https://arxiv.org/abs/2505.11140
Yingxu Wang, Shiqi Fan, Mengzhu Wang, Siyang Gao, Chao Wang, Nan Yin, 25 Sep 2025, DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS, https://arxiv.org/abs/2508.00719
Aryan Singh Dalal, Yinglun Zhang, Duru Do\u{g}an, Atalay Mert \.Ileri, and Hande K\"u\c{c}\"uk McGinty, 7 Oct 2025, Flavonoid Fusion: Creating a Knowledge Graph to Unveil the Interplay Between Food and Health, https://arxiv.org/abs/2510.06433
Ali Sarabadani, Kheirolah Rahsepar Fard, 8 Oct 2025, MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models, https://arxiv.org/abs/2510.06742
Zachris Bj\"orkman, Jorge Lor\'ia, Sophie Wharrie, Samuel Kaski, 8 Oct 2025, Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs, https://arxiv.org/abs/2510.06735
Jiqun Pan, Zhenke Duan, Jiani Tu, Anzhi Cheng, Yanqing Wang, 3 Oct 2025, Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with Datasets, https://arxiv.org/abs/2510.06240
Sicheng Dong, Vahid Zolfaghari, Nenad Petrovic, Alois Knoll, 2 Oct 2025, Knowledge-Graph Based RAG System Evaluation Framework, https://arxiv.org/abs/2510.02549
Abhinav Arun, Reetu Raj Harsh, Bhaskarjit Sarmah, Stefano Pasquali, 3 Oct 2025, FinReflectKG - MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence, https://arxiv.org/abs/2510.02906
Oumar Kane, Mouhamad M. Allaya, Dame Samb, Mamadou Bousso, 27 Sep 2025, An Senegalese Legal Texts Structuration Using LLM-augmented Knowledge Graph, https://arxiv.org/abs/2510.02353
Yuya Sasaki, 21 Oct 2025, Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs, https://arxiv.org/abs/2510.18473
Haoyu Huang, Hong Ting Tsang, Jiaxin Bai, Xi Peng, Gong Zhang, Yangqiu Song, 20 Oct 2025, AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM, https://arxiv.org/abs/2510.17934
Yang Zhao, Chengxiao Dai, Wei Zhuo, Yue Xiu, Dusit Niyato, 25 Sep 2025, CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering, https://arxiv.org/abs/2509.21035
Yucheng Wang, Ziyang Chen, Md Faisal Kabir, 25 Sep 2025, Explaining Fine Tuned LLMs via Counterfactuals A Knowledge Graph Driven Framework, https://arxiv.org/abs/2509.21241
Zhiqiang Liu, Yin Hua, Mingyang Chen, Zhuo Chen, Lei Liang, Huajun Chen and Wen Zhang, 25 Sep 2025, UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction, https://arxiv.org/abs/2411.07019
Linhao Luo, Zicheng Zhao, Junnan Liu, Zhangchi Qiu, Junnan Dong, Serge Panev, Chen Gong, Thuy-Trang Vu, Gholamreza Haffari, Dinh Phung, Alan Wee-Chung Liew, Shirui Pan, 29 Sep 2025, G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge, https://arxiv.org/abs/2509.24276
Yiquan Wang, Tin-Yeh Huang, Qingyun Gao, Jialin Zhang, 29 Sep 2025, HeDA: An Intelligent Agent System for Heatwave Risk Discovery through Automated Knowledge Graph Construction and Multi-layer Risk Propagation Analysis, https://arxiv.org/abs/2509.25112
Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao, 28 Sep 2025, Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs, https://arxiv.org/abs/2310.11246
Samy Badreddine and Emile van Krieken and Luciano Serafini, 29 Sep 2025, Breaking Rank Bottlenecks in Knowledge Graph Embeddings, https://arxiv.org/abs/2506.22271
Jin Li, Zezhong Ding, Xike Xie, 29 Sep 2025, DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion, https://arxiv.org/abs/2507.11229
Zhengyu Wu, Guang Zeng, Huilin Lai, Daohan Su, Jishuo Jia, Yinlin Zhu, Xunkai Li, Rong-Hua Li, Guoren Wang, Chenghu Zhou, 28 Sep 2025, Toward Model-centric Heterogeneous Federated Graph Learning: A Knowledge-driven Approach, https://arxiv.org/abs/2501.12624
Xi Wang, Xianyao Ling, Kun Li, Gang Yin, Liang Zhang, Jiang Wu, Jun Xu, Fu Zhang, Wenbo Lei, Annie Wang, Peng Gong, 17 Oct 2025, Multi-dimensional Data Analysis and Applications Basing on LLM Agents and Knowledge Graph Interactions, https://arxiv.org/abs/2510.15258
Jinliang Liu, 17 Oct 2025, Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation, https://arxiv.org/abs/2510.15552
Zirui Liao, 10 Oct 2025, EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory, https://arxiv.org/abs/2510.08958
Ruitong Liu, Yan Wen, Te Sun, Yunjia Wu, Pingyang Huang, Zihang Yu, Siyuan Li, 10 Oct 2025, Semantic-Condition Tuning: Fusing Graph Context with Large Language Models for Knowledge Graph Completion, https://arxiv.org/abs/2510.08966
Margarita Belova, Jiaxin Xiao, Shikhar Tuli, Niraj K. Jha, 10 Oct 2025, GraphMERT: Efficient and Scalable Distillation of Reliable Knowledge Graphs from Unstructured Data, https://arxiv.org/abs/2510.09580
Premt Cara, Kamilia Zaripova, David Bani-Harouni, Nassir Navab, Azade Farshad, 9 Oct 2025, Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis, https://arxiv.org/abs/2510.08655
Jing Li, Zhijie Sun, Zhicheng Zhou, Suming Qiu, Junjie Huang, Haijia Sun, Linyuan Qiu, 10 Oct 2025, Agentic-KGR: Co-evolutionary Knowledge Graph Construction through Multi-Agent Reinforcement Learning, https://arxiv.org/abs/2510.09156
Edward Holmberg, Elias Ioup, Mahdi Abdelguerfi, 24 Oct 2025, A Knowledge-Graph Translation Layer for Mission-Aware Multi-Agent Path Planning in Spatiotemporal Dynamics, https://arxiv.org/abs/2510.21695
Nilima Rao, Jagriti Srivastava, Pradeep Kumar Sharma, Hritvik Shrivastava, 13 Oct 2025, Scalable and Explainable Enterprise Knowledge Discovery Using Graph-Centric Hybrid Retrieval, https://arxiv.org/abs/2510.10942
Yisen Gao, Jiaxin Bai, Yi Huang, Xingcheng Fu, Qingyun Sun, Yangqiu Song, 13 Oct 2025, Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model, https://arxiv.org/abs/2510.11462
Aditya Malusare, Vineet Punyamoorty, Vaneet Aggarwal, 10 Oct 2025, Augmenting generative models with biomedical knowledge graphs improves targeted drug discovery, https://arxiv.org/abs/2510.09914
Bernhard Mueller, 29 Sep 2025, Hound: Relation-First Knowledge Graphs for Complex-System Reasoning in Security Audits, https://arxiv.org/abs/2510.09633
Wenbin Guo, Xin Wang, Jiaoyan Chen, Lingbing Guo, Zhao Li, Zirui Chen, 10 Oct 2025, ReaLM: Residual Quantization Bridging Knowledge Graph Embeddings and Large Language Models, https://arxiv.org/abs/2510.09711
Walid Abdela, 11 Oct 2025, KG-MAS: Knowledge Graph-Enhanced Multi-Agent Infrastructure for coupling physical and digital robotic environments, https://arxiv.org/abs/2510.10325
Zhiqiang Yuan, Wenjun Mao, Zhuo Chen, Xiyue Shang, Chong Wang, Yiling Lou and Xin Peng, 13 Oct 2025, Project-Level C-to-Rust Translation via Synergistic Integration of Knowledge Graphs and Large Language Models, https://arxiv.org/abs/2510.10956
Agatha Schmidt, Henrik Zunker, Alexander Heinlein, Martin J. K\"uhn, 10 Oct 2025, Graph Neural Network Surrogates to leverage Mechanistic Expert Knowledge towards Reliable and Immediate Pandemic Response, https://arxiv.org/abs/2411.06500
Zhengyu Wu, Yinlin Zhu, Xunkai Li, Ziang Qiu, Rong-Hua Li, Guoren Wang, Chenghu Zhou, 9 Oct 2025, FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling, https://arxiv.org/abs/2510.07755
Saksham Khatwani, He Cheng, Majid Afshar, Dmitriy Dligach, Yanjun Gao, 22 Sep 2025, Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning, https://arxiv.org/abs/2509.18316
Kartikeya Aneja and Manasvi Srivastava and Subhayan Das and Nagender Aneja, 22 Oct 2025, Interpretable Question Answering with Knowledge Graphs, https://arxiv.org/abs/2510.19181
Asmita Sengupta, David Antony Selby, Sebastian Josef Vollmer, Gerrit Gro{\ss}mann, 30 Sep 2025, MEDAKA: Construction of Biomedical Knowledge Graphs Using Large Language Models, https://arxiv.org/abs/2509.26128
Hamed Babaei Giglou, Jennifer D'Souza, S\"oren Auer, and Mahsa Sanaei, 30 Sep 2025, OntoAligner Meets Knowledge Graph Embedding Aligners, https://arxiv.org/abs/2509.26417
Riccardo Pozzi, Valentina Barbera, Renzo Alva Principe, Davide Giardini, Riccardo Rubini, Matteo Palmonari, 30 Sep 2025, Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations, https://arxiv.org/abs/2509.26487
Simon Ging and Sebastian Walter and Jelena Bratuli\'c and Johannes Dienert and Hannah Bast and Thomas Brox, 30 Sep 2025, Using Knowledge Graphs to harvest datasets for efficient CLIP model training, https://arxiv.org/abs/2505.02746
Rashmi R, Vidyadhar Upadhya, 16 Oct 2025, Multimodal RAG for Unstructured Data:Leveraging Modality-Aware Knowledge Graphs with Hybrid Retrieval, https://arxiv.org/abs/2510.14592
Xingrui Zhuo, Jiapu Wang, Gongqing Wu, Zhongyuan Wang, Jichen Zhang, Shirui Pan, Xindong Wu, 15 Oct 2025, Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning, https://arxiv.org/abs/2510.13909
Yilun Zheng, Dan Yang, Jie Li, Lin Shang, Lihui Chen, Jiahao Xu, Sitao Luan, 16 Oct 2025, Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation, https://arxiv.org/abs/2510.14271
Ziye Xia, Sergei S. Ospichev, 16 Oct 2025, Constraint-Driven Small Language Models Based on Agent and OpenAlex Knowledge Graph: Mining Conceptual Pathways and Discovering Innovation Points in Academic Papers, https://arxiv.org/abs/2510.14303