Graph neural networks (GNNs) are able to achieve state-of-the-art performance for node representation and classification in a network. But, most of the existing GNNs can be applied to simple graphs, ...

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Graph-based vertical federated learning (GVFL) enables a service provider (i.e., active party) who owns a labeled graph to collaborate with passive parties who possess auxiliary node features and ...