Pathways is a system designed to enable the creation of large-scale, multi-task, and sparsely activated machine learning systems. It allows for the use of thousands or tens of thousands of ...
Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...
Abstract: Graph contrastive learning (GCL) is emerging as a pivotal technique in graph representation learning. However, recent research indicates that GCL is vulnerable to adversarial attacks, while ...
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