Namkyeong / CMRLLinks
The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"
☆24Updated 2 years ago
Alternatives and similar repositories for CMRL
Users that are interested in CMRL are comparing it to the libraries listed below
Sorting:
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆45Updated 2 years ago
- [CIKM 2023 Short] Code for the paper "S-Mixup: Structural Mixup for Graph Neural Networks"☆18Updated 2 years ago
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆12Updated last year
- The official source code for "Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Model".☆14Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 4 years ago
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Updated last year
- The official source code for "Relational Self-Supervised Learning on Graphs"☆25Updated 3 years ago
- The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computati…☆12Updated 2 years ago
- The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…☆26Updated 3 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- The official source code for "3D Interaction Geometric Pre-training for Molecular Relational Learning"☆20Updated 2 months ago
- The official source code for "Task-Equivariant Graph Few-shot Learning (TEG)" at KDD 2023.☆24Updated 2 years ago
- The offical source code for [2023 NeurIPS] " Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transfor…☆30Updated last year
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆77Updated 3 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"☆40Updated 3 years ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆44Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- The official source code of the paper "Unsupervised Episode Generation for Graph Meta-learning" (ICML 2024)☆14Updated last year
- ☆18Updated 2 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆47Updated 8 months ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Updated 2 years ago
- ☆16Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆33Updated 2 years ago
- The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.☆23Updated last year
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago