AI RESEARCH
Beyond Explicit Edges: Robust Reasoning over Noisy and Sparse Knowledge Graphs
arXiv CS.CL
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ArXi:2603.14006v1 Announce Type: new GraphRAG is increasingly adopted for converting unstructured corpora into graph structures to enable multi-hop reasoning. However, standard graph algorithms rely heavily on static connectivity and explicit edges, often failing in real-world scenarios where knowledge graphs (KGs) are noisy, sparse, or incomplete. To address this limitation, we