wanwenzeng / deepdrugLinks
DeepDrug: A general graph-based deep learning framework for drug relation prediction
☆62Updated 3 years ago
Alternatives and similar repositories for deepdrug
Users that are interested in deepdrug are comparing it to the libraries listed below
Sorting:
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆88Updated last year
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆83Updated 3 years ago
- ☆94Updated 2 years ago
- Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network☆96Updated 6 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 5 years ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆135Updated last year
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆25Updated 5 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 5 years ago
- ☆34Updated 5 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆126Updated 2 years ago
- ☆29Updated 5 years ago
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆90Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 4 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆135Updated 2 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆25Updated 3 years ago
- MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)☆219Updated 3 years ago
- Implementation of Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature☆40Updated 4 years ago
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆120Updated last year
- Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data…☆39Updated 9 years ago
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆129Updated last year
- Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "☆57Updated 2 years ago
- A collection of resources related with Knowledge-augmented Graph Machine Learning for Drug Discovery.☆22Updated last year
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77Updated 4 years ago
- This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…☆44Updated 6 years ago
- ☆92Updated 2 years ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆28Updated 3 years ago
- Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.☆171Updated 2 years ago