GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL
cs.AI
Submitted: 2026-08-27
Updated: 2026-08-27
Terminology
Sources
- GPT-4 Technical Report
- Qwen Technical Report
- LEGO-GraphRAG: Modularizing Graph-based Retrieval-Augmented Generation for Design Space Exploration
- G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
- GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
- Let Your Graph Do the Talking: Encoding Structured Data for LLMs
- Are Large-Language Models Graph Algorithmic Reasoners?
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- Adaptive Information Control for Search-Augmented LLM Reasoning
- ReAct: Synergizing Reasoning and Acting in Language Models
- EGL-SCA: Structural Credit Assignment for Co-Evolving Instructions and Tools in Graph Reasoning Agents
- GCoder: Improving Large Language Model for Generalized Graph Problem Solving
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