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GitHub topics: self-supervised-graph-learning

NSLab-CUK/Community-aware-Graph-Transformer

Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.

Language: Python - Size: 183 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 13 - Forks: 2

NSLab-CUK/S-CGIB

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.

Language: Python - Size: 4.17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 2

NSLab-CUK/Unified-Graph-Transformer

Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.

Language: Python - Size: 1.65 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 25 - Forks: 5