ahu-bioinf-lab / AMGDTILinks
A Network Integration Approach for Drug-Target Interaction Prediction
☆13Updated 7 months ago
Alternatives and similar repositories for AMGDTI
Users that are interested in AMGDTI are comparing it to the libraries listed below
Sorting:
- Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction☆11Updated 2 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago
- ☆25Updated 4 years ago
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆28Updated 3 years ago
- Source Code for IJCAI'20 "KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction"☆92Updated 4 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago
- ☆32Updated 4 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆19Updated last year
- related to graph and deep Learning for drug-drug interactions prediction.☆29Updated 2 years ago
- ☆11Updated 4 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆55Updated 2 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 3 years ago
- Drug-Target Interaction Prediction with GraphAttention networks☆20Updated 5 years ago
- ☆12Updated last year
- ☆80Updated last year
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆23Updated 2 years ago
- ☆17Updated 3 years ago
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆90Updated last year
- Drug repositioning with adaptive graph convolutional networks☆16Updated last year
- ☆26Updated 4 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆126Updated 2 years ago
- Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…☆18Updated 8 months ago
- ☆14Updated 3 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆45Updated 2 years ago
- ☆10Updated 3 years ago
- ☆14Updated 5 years ago
- KGANCDA is effective to predict associations between circRNA and cancer, which is based on knowledge graph attention network. The detail …☆13Updated 2 years ago
- "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".☆13Updated 3 years ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆20Updated 3 years ago