ProbabilisticGraphicalModel

Neural Information Processing Systems 

Graph Neural Networks (GNNs) have been emerging as powerful solutions to many real-world applications in various domains where the datasets are in form of graphs such as social networks, citationnetworks,knowledgegraphs,andbiologicalnetworks [1,2,3].

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