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AFANS: Augmentation-Free Graph Contrastive Learning with Adversarial Negative Sampling Authors : Shihao Wang , Chenxu Wang , Panpan Meng , Zhanggong Wang Authors Info Claims Advanced Intelligent Computing Technology and Applications: 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part XII
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Addressing these issues, this paper introduces AFANS, an Augmentation-Free graph contrastive learning framework with Adversarial Negative Sampling Instead of traditional augmentation, AFANS uses an Exponential Moving Average (EMA) and a momentum encoder to generate positive samples
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