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Explore key features and more of VQGraph, a cutting-edge model that effectively encodes graph structural information into fixed-length vecto
Graph learning is a challenging task that requires models to capture the complex patterns of graph data. VQGraph is a new model that combines GNNs and MLPs with vector quantization and contrastive learning. Learn how it encodes graphs into discrete codes and improves the performance of both GNNs and MLPs.
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