fa-fa97 / DTIs-prediction-by-DeepWalk-on-DrugBankLinks
Drug-target interaction prediction using deepWalk node embedding algorithm on drugBank
☆11Updated 4 years ago
Alternatives and similar repositories for DTIs-prediction-by-DeepWalk-on-DrugBank
Users that are interested in DTIs-prediction-by-DeepWalk-on-DrugBank are comparing it to the libraries listed below
Sorting:
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 2 years ago
- ☆11Updated 3 years ago
- Inferring disease-associated miRNAs☆10Updated 5 years ago
- A deep learning framework for predicting lncRNA–disease associations☆10Updated 4 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- drugbank相关数据的处理,包括获取药物sdf结构文件,drug相关信息,drug作用相关蛋白信息,drugbank中drug id与其他数据库的映射,protein蛋白相关信息到其他数据库的映射☆20Updated 3 years ago
- Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)☆12Updated 5 years ago
- ☆11Updated 3 years ago
- ☆12Updated 5 years ago
- ☆17Updated 2 years ago
- ☆19Updated last year
- Heterogeneous disease-gene-related☆18Updated 3 years ago
- Drug repositioning based on Heterogeneous network and Text Mining☆14Updated 3 years ago
- ☆19Updated 5 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated 2 years ago
- ☆23Updated 8 years ago
- Realizing DTINet with python☆27Updated 7 years ago
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 3 years ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆17Updated 6 months ago
- ☆16Updated 3 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆27Updated 3 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆24Updated 2 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 2 years ago
- Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction☆11Updated 2 years ago
- this is the source code and data☆18Updated 6 years ago
- ☆56Updated 5 years ago
- ☆34Updated 4 years ago
- ☆14Updated 4 years ago
- PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…☆24Updated 3 years ago