yangnianzu0515 / MoleRec
The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).
☆56Updated last year
Related projects ⓘ
Alternatives and complementary repositories for MoleRec
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆60Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆78Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- AAAI-23 paper: Context-aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding☆15Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆24Updated 5 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆82Updated 8 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆34Updated 5 months ago
- ☆55Updated 2 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆44Updated 10 months ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆38Updated last year
- ☆50Updated 2 years ago
- A curated list of resources for graph prompting methods☆28Updated 9 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆77Updated 2 years ago
- The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.☆38Updated 2 years ago
- ☆11Updated last year
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆44Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆62Updated 11 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆102Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆83Updated 5 months ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆21Updated 3 weeks ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆42Updated 2 years ago
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year
- Edge-Augmented Graph Transformer☆72Updated 9 months ago
- ☆29Updated 9 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆74Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆30Updated 8 months ago
- Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)☆120Updated last year