11 citations · 24 across the 4 of their papers we have counts for
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cs.SI2024★ 2 cited
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Cencheng Shen, Jonathan Larson, Ha Trinh +1
This paper introduces a refined graph encoder embedding method, enhancing the original graph encoder embedding through linear transformation, self-training, and hidden community re…
cs.CL2024
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Darren Edge, Ha Trinh, Newman Cheng +7
The use of retrieval-augmented generation (RAG) to retrieve relevant information from an external knowledge source enables large language models (LLMs) to answer questions over pri…