yangnianzu0515 / MoleRec
The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).
☆63Updated last year
Alternatives and similar repositories for MoleRec:
Users that are interested in MoleRec are comparing it to the libraries listed below
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- AAAI-23 paper: Context-aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding☆15Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆28Updated last year
- ☆30Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆86Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆18Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 9 months ago
- ☆18Updated 6 months ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆40Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆34Updated 11 months ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆30Updated 9 months ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 6 months ago
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆40Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆21Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆107Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆93Updated last year
- This repository is a PyTorch implementation of our NeurIPS 2022 paper "Debiased, Longitudinal and Coordinated Drug Recommendation through…☆36Updated last year
- [WWW 2022] "Conditional Generation Net for Medication Recommendation"☆36Updated 2 years ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆39Updated last year
- ☆57Updated 2 years ago
- Source code of our SIGIR'24 paper titled "Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients".☆15Updated 7 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- ☆10Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 9 months ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆99Updated last year
- ☆22Updated 5 months ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆22Updated last year