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20242026
most citedGraph Machine Learning in the Era of Large Language Models (LLMs)

5 citations · 6 across the 5 of their papers we have counts for

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cs.LG2025

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning

Yu Song, Zhigang Hua, Yan Xie +3

Self-supervised learning (SSL) has shown great promise in graph representation learning. However, most existing graph SSL methods are developed and evaluated under a single-dataset…

cs.IR2025

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights

Haoyu Han, Li Ma, Yu Wang +9

Retrieval-Augmented Generation (RAG) improves large language models (LLMs) by retrieving relevant information from external sources and has been widely adopted for text-based tasks…