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BGRL_Pytorch. Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"
83AFGRL. The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
79CGIB. The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".
44RGRL. The official source code for "Relational Self-Supervised Learning on Graphs"
25CMRL. The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"
253DMRL. The official source code for "3D Interaction Geometric Pre-training for Molecular Relational Learning"
23AMOLE. The official source code for "Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Model".
14NoisyNodes_Pytorch. Pytorch implementation of "Very Deep Graph Neural Networks via Noise Regularisation"
10PCRL. Python
9RecSys_paper. implementation of Recommendation System papers
6CoE202. Lab session materials for CoE202 in KAIST
1Namkyeong.github.io. A beautiful, simple, clean, and responsive Jekyll theme for academics
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