G-RAG combines entity linking, Wikipedia expansion, and a graph database for material science question answering, but its claimed improvements over simpler RAG are not statistically significant.
Exploration of word embeddings with graph-based context adaptation for en- hanced word vectors
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G-RAG: Knowledge Expansion in Material Science
G-RAG combines entity linking, Wikipedia expansion, and a graph database for material science question answering, but its claimed improvements over simpler RAG are not statistically significant.