Papers with PPR

3 papers
Breaking the Static Graph: Context-Aware Traversal for Graph-Based RAG (2026.findings-acl)

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Challenge: Recent advances in RAG focus on capturing multi-hop dependencies, but static Graphs fail to retrieve complete evidence chain.
Approach: They propose a structure-aware approach to capture multi-hop dependencies using Knowledge Graphs and Personalized PageRank to capture semantic drift.
Outcome: Experiments show that CatRAG outperforms state-of-the-art approaches . the proposed approach achieves substantial improvements in reasoning completeness .
HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context Summarization (2026.acl-long)

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Challenge: Existing methods for long-context summarization fail to capture high-level thematic structures and long-range dependencies.
Approach: They propose a hierarchical Graph of Evidence to reduce hallucination and attention dilution by replacing unreliable chunk-based methods with a filtered proposition–evidence graph.
Outcome: Experiments show that HiGoE surpasses baselines in quality and efficiency.
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval (2026.findings-acl)

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Challenge: Existing lightweight approaches to retrieval-augmented generation fail to capture latent semantic connections between disjoint entities.
Approach: They propose a lightweight RAG framework that constructs a hypergraph capturing both structure and semantic relationships using a hybrid structural-semantic retrieval mechanism.
Outcome: EHRAG outperforms state-of-the-art methods on four datasets while maintaining zero token consumption.

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