Abstract: Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node ...
Abstract: Large-scale graph processing and Stream processing are two distinct computational paradigms for big data processing. Graph processing deals with computation on graphs of billions of vertices ...
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