2025
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
IJCAI 2025
Recent advances in unsupervised deep graph clustering have been significantly promoted by contrastive learning. Despite the strides, most graph contrastive learning models face challenges: 1) graph augmentation is used to improve learning diversity, but commonly used random augmentation methods may