Abstract: Graph Contrastive Learning (GCL) has emerged as the foremost approach for self-supervised learning on graph-structured data. GCL reduces reliance on labeled data by learning robust ...
Abstract: Recently, Message Passing Neural Networks (MPNNs) have become significant popular frameworks in graph neural networks (GNNs) for solve the graph representation learning(GRL). However, MPNNs ...
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