150 citations · 745 across the 95 of their papers we have counts for
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cs.LG2021
Deep Graph Clustering via Dual Correlation Reduction
Yue Liu, Wenxuan Tu, Sihang Zhou +4
Deep graph clustering, which aims to reveal the underlying graph structure and divide the nodes into different groups, has attracted intensive attention in recent years. However, w…
cs.LG2021
Siamese Attribute-missing Graph Auto-encoder
Wenxuan Tu, Sihang Zhou, Yue Liu +1
Graph representation learning (GRL) on attribute-missing graphs, which is a common yet challenging problem, has recently attracted considerable attention. We observe that existing…
cs.CV2021★ 1 cited
Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement
Guang Yu, Siqi Wang, Zhiping Cai +3
While classic video anomaly detection (VAD) requires labeled normal videos for training, emerging unsupervised VAD (UVAD) aims to discover anomalies directly from fully unlabeled v…