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 processing plays an important role in many practical applications. However, the inherent characteristics of graph processing, including random memory access and the low ...
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