Abstract: Node and graph-level clustering hold considerable significance for a wide range of applications, including drug target identification and protein function prediction. Recently, contrastive ...
Abstract: Text data has grown exponentially due to social media, e-commerce, and online reviews. Recent studies have explored graph neural networks (GNNs) for text classification, since they are not ...
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