Abstract: Graph Contrastive Learning (GCL) has significantly advanced graph representation learning by generating more effective node embeddings. It aims to create informative representations by ...
Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...
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