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20242026
most citedA Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning

4 citations · 4 across the 4 of their papers we have counts for

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cs.CL2025

HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs

Shujie Li, Yuxia Wu, Yuan Fang +1

Graph neural networks (GNNs) have demonstrated success in modeling relational data primarily under the assumption of homophily. However, many real-world graphs exhibit heterophily,…