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Abstract: This paper proposes a subgraph-aware classification framework that integrates efficient frequent subgraph mining with graph neural networks (GNNs) to address the limitations of existing GNNs ...
Abstract: With the rise of big data, data and their relationships are frequently abstracted into uncertain graphs. In such graphs, a node represents a data object, while an edge signifies the ...
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