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cs.LG2023
Graph Self-Contrast Representation Learning
Minjie Chen, Yao Cheng, Ye Wang +2
Graph contrastive learning (GCL) has recently emerged as a promising approach for graph representation learning. Some existing methods adopt the 1-vs-K scheme to construct one posi…
cs.LG2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs
Mengyi Yuan, Minjie Chen, Xiang Li
In recent years, self-supervised learning has emerged as a promising approach in addressing the issues of label dependency and poor generalization performance in traditional GNNs.…