MedicineBiology-AI / EEG-DTILinks
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction
☆30Updated 3 years ago
Alternatives and similar repositories for EEG-DTI
Users that are interested in EEG-DTI are comparing it to the libraries listed below
Sorting:
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 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
- ☆34Updated 5 years ago
- Drug-Target Interaction Prediction with GraphAttention networks☆20Updated 5 years ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆28Updated 3 years ago
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77Updated 4 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)☆25Updated 5 years ago
- ☆80Updated last year
- Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction☆11Updated 2 years ago
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆93Updated 4 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 3 years ago
- ☆14Updated 5 years ago
- Realizing DTINet with python☆27Updated 7 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆65Updated 5 years ago
- ☆17Updated 4 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆29Updated 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
- PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…☆23Updated 4 years ago
- ☆25Updated 4 years ago
- ☆19Updated 2 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated 2 years ago
- Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods☆47Updated 6 years ago
- ☆17Updated 2 years ago
- Disease Gene Prioritization with Privileged Information and Heteroscedastic Dropout☆11Updated 4 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆31Updated 2 years ago
- ☆21Updated last year
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 4 years ago
- Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)☆13Updated 5 years ago