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What is CuCo: Curriculum Contrastive Learning for Graphs about?

The paper presents CuCo, a novel curriculum contrastive learning framework for graph-level representation learning that addresses the challenge of limited labeled data by focusing on the effective use of negative samples. It introduces four graph augmentation techniques to create positive and negative samples, and employs a scoring function to sort negative samples by difficulty, enhancing the learning process. Extensive experiments demonstrate that CuCo improves classification performance and convergence s

Author

wyp962

Language

EN