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AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
Then, each client conducts personalized training based on the local subgraph and the federated knowledge extractor.
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
Despite numerous attempts, most existing GNNs struggle to achieve optimal node representations due to the constraints of undirected graphs.
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Node Classification
on Cornell
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