Abstract: Federated Learning (FL) is a distributed machine learning scheme in which clients jointly participate in the collaborative training of a global model by sharing model information rather than ...
Abstract: Graph contrastive learning (GCL) has achieved remarkable success in graph self-supervised learning (SSL) through an augmenting-contrasting paradigm. Existing augmentation strategies ...
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