103 citations · 167 across the 19 of their papers we have counts for
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cs.LG2022★ 1 cited
Robust Knowledge Adaptation for Dynamic Graph Neural Networks
Hanjie Li, Changsheng Li, Kaituo Feng +3
Graph structured data often possess dynamic characters in nature. Recent years have witnessed the increasing attentions paid to dynamic graph neural networks for modelling graph da…
cs.LG2022★ 30 cited
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks
Kaituo Feng, Changsheng Li, Ye Yuan +1
Knowledge distillation (KD) has demonstrated its effectiveness to boost the performance of graph neural networks (GNNs), where its goal is to distill knowledge from a deeper teache…
cs.LG2022★ 103 cited
Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering
Shiye Wang, Changsheng Li, Yanming Li +2
In this paper, we explore the problem of deep multi-view subspace clustering framework from an information-theoretic point of view. We extend the traditional information bottleneck…