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.
☆15Nov 26, 2025Updated 3 months ago
Alternatives and similar repositories for S-CGIB
Users that are interested in S-CGIB are comparing it to the libraries listed below
Sorting:
- Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree bias…☆15Aug 27, 2025Updated 6 months ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆28Jul 17, 2025Updated 7 months ago
- The official codes and implementations of HimGNN model in paper:"HimGNN:a novel hierarchical molecular representations learning framewor…☆22Aug 30, 2023Updated 2 years ago
- Official code implementation of PremuNet model.☆16Jun 3, 2025Updated 9 months ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Mar 16, 2024Updated last year
- Official code for SPE☆17Sep 15, 2024Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Apr 29, 2024Updated last year
- ☆22Mar 30, 2023Updated 2 years ago
- ☆31Jan 20, 2026Updated last month
- brain data analysis and graph information bottleneck☆31Nov 6, 2024Updated last year
- "Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding" (MICCAI 2023)☆25Jul 4, 2023Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆22Jun 4, 2025Updated 8 months ago
- ChemBFN: Bayesian Flow Network Framework for Chemistry Tasks. Developed in Hiroshima University.☆28Feb 23, 2026Updated last week
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆33Mar 29, 2024Updated last year
- [AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"☆33Sep 14, 2024Updated last year
- Two-temperature model (TTM) parameters (G, Ce, K) calculated with XTANT-3☆13Nov 30, 2025Updated 3 months ago
- 酒店评论文本分类聚类私活☆11Jan 18, 2019Updated 7 years ago
- The implementation of the paper "Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry".☆50Dec 18, 2024Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"☆13Mar 19, 2024Updated last year
- ☆12Aug 7, 2024Updated last year
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10May 20, 2024Updated last year
- ☆10Sep 24, 2024Updated last year
- Bayesian Active Learning with Fully Bayesian Gaussian Processes☆14Sep 29, 2022Updated 3 years ago
- 直観主義の命題論理+自然演繹の中で与えられた定理を検証する遺伝的アルゴリズムを用いた証明探索エンジン☆19Feb 17, 2026Updated 2 weeks ago
- the source code of IJCAI 2023 paper "Multi-Scale subgraph contrastive learning"☆10Apr 25, 2023Updated 2 years ago
- Official Pytorch implementation of Chromatic Graph Transformers☆10Jun 14, 2023Updated 2 years ago
- A python implementation of discrete optimal transport with a Tsallis entropy regularization.☆14Oct 23, 2023Updated 2 years ago
- Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks☆12Mar 17, 2021Updated 4 years ago
- A simple and effective Contrastive Graph-Image Pre-training framework for molecular representation learning (BIB 2023)☆11Sep 6, 2024Updated last year
- The official implementation of NeurIPS2024 paper "SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning."☆10May 28, 2025Updated 9 months ago
- GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1…☆47Jul 27, 2023Updated 2 years ago
- ☆10Jul 7, 2022Updated 3 years ago
- [NeurIPS 2023] Combating Bilateral Edge Noise for Robust Link Prediction☆13Nov 3, 2023Updated 2 years ago
- ☆10Jun 10, 2024Updated last year
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products (ICML 2024)☆11Jul 13, 2024Updated last year
- ☆13Nov 1, 2023Updated 2 years ago
- The official implementation of the AAAI'24 paper Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer.☆11Dec 28, 2023Updated 2 years ago