yangnianzu0515 / MoleRec
The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).
☆65Updated last year
Alternatives and similar repositories for MoleRec
Users that are interested in MoleRec are comparing it to the libraries listed below
Sorting:
- AAAI-23 paper: Context-aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding☆16Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Official implementation for paper "Predictive Modeling with Temporal Graphical Representation on Electronic Health Records"☆21Updated 11 months ago
- ☆10Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated last year
- This repository is a PyTorch implementation of our NeurIPS 2022 paper "Debiased, Longitudinal and Coordinated Drug Recommendation through…☆36Updated 2 years ago
- ☆15Updated 5 years ago
- ☆29Updated last year
- IJCAI2021: Code for SafeDrug, MIMIC data processing, Medical code mapping☆82Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- [WWW 2022] "Conditional Generation Net for Medication Recommendation"☆36Updated 2 years ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆42Updated 11 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆30Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- ☆26Updated 4 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 11 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 11 months ago
- Source code of our SIGIR'24 paper titled "Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients".☆17Updated 9 months ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 8 months ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆64Updated last year
- The data and code for the MEGACare framework☆9Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated 11 months ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆90Updated last year
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆13Updated last year
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆97Updated last year
- [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"☆20Updated last year
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆25Updated 6 months ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago