36 citations · 115 across the 10 of their papers we have counts for
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cs.LG2022★ 6 cited
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning
Xumeng Gong, Cheng Yang, Chuan Shi
Contrastive learning (CL), which can extract the information shared between different contrastive views, has become a popular paradigm for vision representation learning. Inspired…
cs.LG2022★ 34 cited
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network
Tianyu Zhao, Cheng Yang, Yibo Li +7
Heterogeneous Graph Neural Network (HGNN) has been successfully employed in various tasks, but we cannot accurately know the importance of different design dimensions of HGNNs due…