Abstract: Link prediction is a fundamental task in dynamic graph learning (DGL), inherently shaped by the topology of the DG. Recent advancements in dynamic graph neural networks (DGNN), primarily by ...
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Abstract: In the field of link prediction in graph neural networks, existing graph neural network models have difficulty effectively integrating node structural features and latent features, which ...
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