27 citations · 58 across the 9 of their papers we have counts for
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cs.LG2023★ 6 cited
Provable Training for Graph Contrastive Learning
Yue Yu, Xiao Wang, Mengmei Zhang +2
Graph Contrastive Learning (GCL) has emerged as a popular training approach for learning node embeddings from augmented graphs without labels. Despite the key principle that maximi…
cs.LG2023
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
Nian Liu, Xiao Wang, Hui Han +1
Heterogeneous graph neural networks (HGNNs) as an emerging technique have shown superior capacity of dealing with heterogeneous information network (HIN). However, most HGNNs follo…