Abstract: Estimating node importance is critical in graph data mining, benefiting various downstream applications such as social network analysis and recommendation systems. Existing approaches face ...
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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