Yang-Geng Fu — accepted AI-conference papers

2024

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs

Jin Li, Qirong Zhang, Shuling Xu, Xinlong Chen, Longkun Guo, Yang-Geng Fu

AAAI 2024technical

Despite Graph neural networks' significant performance gain over many classic techniques in various graph-related downstream tasks, their successes are restricted in shallow models due to over-smoothness and the difficulties of optimizations among many other issues. In this paper, to alleviate the o…

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2024

Training Graph Transformers via Curriculum-Enhanced Attention Distillation

Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu

ICLR 2024poster

Recent studies have shown that Graph Transformers (GTs) can be effective for specific graph-level tasks. However, when it comes to node classification, training GTs remains challenging, especially in semi-supervised settings with a severe scarcity of labeled data. Our paper aims to address this rese…

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