GLM-RAG: Graph Language Models for Graph-Based Retrieval-Augmented Generation.

arXiv:2607.28397v2 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) over knowledge graphs requires retrievers that can effectively capture both graph structure and semantic information. Recent approaches have explored graph neural network