Aussie AI

Knowledge Graph Reasoning

Last Updated 15 August, 2025

by David Spuler, Ph.D.

Research on Knowledge Graph Reasoning

Research papers include:

Cameron R. Wolfe, Jan 3, 2024, Graph-Based Prompting and Reasoning with Language Models. Understanding graph of thoughts prompting and several variants… https://towardsdatascience.com/graph-based-prompting-and-reasoning-with-language-models-d6acbcd6b3d8
Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding, 13 Oct 2024, Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation, https://arxiv.org/abs/2410.09824
Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu, 7 Oct 2024, Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents, https://arxiv.org/abs/2410.05130
Sambhav Khurana, Xiner Li, Shurui Gui, Shuiwang Ji, 29 Oct 2024, A Hierarchical Language Model For Interpretable Graph Reasoning, https://arxiv.org/abs/2410.22372
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Hui Liu, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang, 14 Jan 2025, Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning, https://arxiv.org/abs/2501.07845
F. Alotaibi, A. Kulkarni and D. Zhou, "Graph of Logic: Enhancing LLM Reasoning with Graphs and Symbolic Logic," 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 5926-5935, doi: 10.1109/BigData62323.2024.10825450. https://ieeexplore.ieee.org/abstract/document/10825450
Maciej Besta, Julia Barth, Eric Schreiber, Ales Kubicek, Afonso Catarino, Robert Gerstenberger, Piotr Nyczyk, Patrick Iff, Yueling Li, Sam Houliston, Tomasz Sternal, Marcin Copik, Grzegorz Kwaśniewski, Jürgen Müller, Łukasz Flis, Hannes Eberhard, Hubert Niewiadomski, Torsten Hoefler, 23 Jan 2025 (v3), Reasoning Language Models: A Blueprint, https://arxiv.org/abs/2501.11223 (Survey and blueprint for how to build a Large Reasoning Model.)
Avinash Patil, 5 Feb 2025, Advancing Reasoning in Large Language Models: Promising Methods and Approaches, https://arxiv.org/abs/2502.03671
Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang, 12 Feb 2025, GCoT: Chain-of-Thought Prompt Learning for Graphs, https://arxiv.org/abs/2502.08092
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
Komal Kumar, Tajamul Ashraf, Omkar Thawakar, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, Phillip H.S. Torr, Salman Khan, Fahad Shahbaz Khan, 28 Feb 2025, LLM Post-Training: A Deep Dive into Reasoning Large Language Models, https://arxiv.org/abs/2502.21321 https://github.com/mbzuai-oryx/Awesome-LLM-Post-training
Wenjie Wu, Yongcheng Jing, Yingjie Wang, Wenbin Hu, Dacheng Tao, 3 Mar 2025, Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning, https://arxiv.org/abs/2503.01642