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Xun Liu

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Open access Aug 2026

Broad graph convolutional network: a novel graph convolutional network paradigm without hidden layer

A novel broad graph convolutional network (BGCN) paradigm is proposed, which completely eliminates hidden layers and instead expands the receptive field through network width, effectively circumventing the inherent limitations of over-smoothing and overfitting in existing deep and high-order GCN models.

Alex Hay-Man Ng, Xun Liu, Fangyuan Lei et al. · 0 citations

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