most citedA Post-Training Framework for Improving Heterogeneous Graph Neural Networks

6 citations · 17 across the 3 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…