Tao Long

Adversarial Contrastive Graph Augmentation with Counterfactual Regularization

With the advancement of graph representation learning, self-supervised graph contrastive learning (GCL) has emerged as a key technique in the field. In GCL, positive and negative samples are generated through data augmentation. While recent works have introduced model-based methods to enhance positi…