YuanchenBei/Awesome-Graphs-Meet-Agents
[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents).
This resource helps AI researchers and practitioners explore cutting-edge work on intelligent agents that use graph structures for better decision-making, memory, and coordination. It provides a categorized list of academic papers, taking a deep dive into how graphs are used for agent planning, execution, and memory management. The target audience is researchers, graduate students, and developers working on AI agents, particularly those focused on areas like large language models (LLMs), multi-agent systems, and reinforcement learning.
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Use this if you are an AI researcher or developer looking for a comprehensive, up-to-date collection of academic papers on the intersection of graph learning and AI agents.
Not ideal if you are looking for introductory material on AI agents or graph theory, or pre-built software tools and libraries for immediate deployment without deep research.
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Sep 13, 2025
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