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20232026
most citedTreeCSS: An Efficient Framework for Vertical Federated Learning

3 citations · 6 across the 7 of their papers we have counts for

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cs.CL2025

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG

Qiming Zeng, Hao Luo, Yuhao Lin +5

By retrieving contexts from knowledge graphs, graph-based retrieval-augmented generation (GraphRAG) enhances large language models (LLMs) to generate quality answers for user quest…

cs.CL2025

Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph

Yuxiang Wang, Xiao Yan, Shiyu Jin +6

Text-attributed graph (TAG) provides a text description for each graph node, and few- and zero-shot node classification on TAGs have many applications in fields such as academia an…