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: Graph pattern matching (GPM), a critical algorithm for discovering specific patterns within complex structures, is becoming increasingly important in the data-driven world. GPM applications ...
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