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20242026
most citedFedSM: Robust Semantics-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data

2 citations · 2 across the 8 of their papers we have counts for

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cs.LG2024

Exploring the Potential of Large Language Models for Heterophilic Graphs

Yuxia Wu, Shujie Li, Yuan Fang +1

Large language models (LLMs) have presented significant opportunities to enhance various machine learning applications, including graph neural networks (GNNs). By leveraging the va…