Corpus-Guided Dual-Path Propagation for Graph Retrieval-Augmented Generation

arXiv:2609.37661 · cs.CL · Submitted 2026-09-29 · Read on arXiv

cs.CL

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• RAG — 22× in this paper · explained in 3 episodes
• Benchmark — 18× in this paper · explained in 2 episodes
• Retrieval-Augmented Generation — 15× in this paper
• Semantic Similarity — 11× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Failure Modes — 7× in this paper · explained in 3 episodes
• Graph Construction — 6× in this paper · explained in 3 episodes
• Pruning — 6× in this paper · explained in 4 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Knowledge Graph — 3× in this paper · explained in 7 episodes
• Multi-hop Reasoning — 3× in this paper · explained in 3 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 2× in this paper
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Retrieval-Augmented Generation (RAG) — 2× in this paper · explained in 16 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptive Reasoning — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• In Empirical Methods in Natural Language Processing — 1× in this paper
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Named Entity Recognition (NER) — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• The Faiss library
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Retrieval-Augmented Generation for Large Language Models: A Survey
• Retrieval-Augmented Generation with Graphs (GraphRAG)
• LAG: Logic-Augmented Generation from a Cartesian Perspective
• A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
• E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness

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