Abstract: The non-Euclidean nature of graphs made them inaccessible to standard deep learning techniques that rely on fixed-size, ordered inputs. Graph Neural Networks (GNNs) are essential for serving ...
Abstract: Graph Contrastive Learning (GCL) has significantly advanced graph representation learning by generating more effective node embeddings. It aims to create informative representations by ...
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