Aussie AI

Knowledge Graphs

Last Updated 29 August, 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