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
- ☆93Updated 2 years ago
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆83Updated 3 years ago
- Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network☆96Updated 6 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆25Updated 5 years ago
- Implementation of Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature☆40Updated 4 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 of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- ☆29Updated 5 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆134Updated last year
- ☆34Updated 4 years ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆28Updated 3 years ago
- Drug-Target Interaction Prediction with GraphAttention networks☆20Updated 5 years ago
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆132Updated 2 years ago
- ☆30Updated last year
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77Updated 4 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆126Updated 2 years ago
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 5 years ago
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆92Updated 4 years ago
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆117Updated last year
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆90Updated last year
- related to graph and deep Learning for drug-drug interactions prediction.☆29Updated 2 years ago
- Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data…☆39Updated 9 years ago
- ☆17Updated 4 years ago
- ☆32Updated 4 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆24Updated 2 years ago
- ☆80Updated last year