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S-CGIB

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Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular property prediction and developed by NS Lab, CUK based on pure PyTorch backend.

Creat2024-12-11T15:43:14
Update2025-06-15T04:05:13
https://nslab-cuk.github.io/2024/12/19/SCGIB/
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