Contrastive Learning

Boosting Graph Contrastive Learning via Adaptive Sampling
Contrastive Learning (CL) is a prominent technique for self-supervised representation learning, which aims to contrast semantically …
Graph self-supervised learning: A survey
Deep learning on graphs has attracted significant interests recently. However, most of the works have focused on (semi-) supervised …
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Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
Graph Neural Networks (GNNs) have achieved remarkable performance in the task of semi-supervised node classification. However, most …
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Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Graph-based Semi-Supervised Learning (SSL) aims to transfer the labels of a handful of labeled data to the remaining massive unlabeled …
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