Abstract: Graph Neural Networks (GNNs) have been generalized to process the heterogeneous graphs by various approaches. Unfortunately, these approaches usually model the heterogeneity via various ...
Abstract: Federated learning (FL), an emerging distributed machine learning paradigm, utilizes edge decentralized data from multiple edge nodes (clients) to train a shared model under preserved data ...
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