GraphCert: Bootstrap Agentic Graph Reasoning with Certified Evidence Rubrics
cs.AI
Submitted: 2026-09-30
Updated: 2026-09-30
Sources
- GPT-4 Technical Report
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- How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
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- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
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- SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning
- Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
- Retrieval-Augmented Generation for Large Language Models: A Survey
- GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
- G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
- LinkGPT: Teaching Large Language Models To Predict Missing Links
- GraphThought: Graph Combinatorial Optimization with Thought Generation
- Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
- Semi-Supervised Classification with Graph Convolutional Networks
- GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration
- Graph-O1 : Monte Carlo Tree Search with Reinforcement Learning for Text-Attributed Graph Reasoning
- PolyG: Adaptive Graph Traversal for Diverse GraphRAG Questions
- DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL
- Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
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