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News/AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation
arxiv
PublishedJuly 2, 2026 at 4:00 AM
▲bullish

AGE: Adaptive-masking for Graph Embedding in Graph Retrieval-Augmented Generation

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2607.00052v1 Announce Type: cross Abstract: GraphRAG is an extension of retrieval-augmented generation (RAG) that supports large language models (LLMs) by referring to graph-structured data as external knowledge. While this technique ideally captures intricate relationships, it often struggles

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Discussion
Mentioned models
02
  • 01
    GraphRAG
  • 02
    Transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#graph-structured#language-models#self-supervised-learning

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Mentioned models
02
  • 01
    GraphRAG
  • 02
    Transformer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#graph-structured#language-models#self-supervised-learning

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents2darxivTNODEV: Toolbox for Neural ODE Verification2d
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