Abstract: In temporal graphs, time and topology are considered to be intertwined. As an evidence, it is observed that the vertices in more cohesive subgraphs have more frequent and more numerous ...
Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...
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