most citedVQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

cs.LG2021★ 11 cited

VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

Mucong Ding, Kezhi Kong, Jingling Li +4

Most state-of-the-art Graph Neural Networks (GNNs) can be defined as a form of graph convolution which can be realized by message passing between direct neighbors or beyond. To sca…