ljatynu / NIMCGCN
☆23Updated 2 years ago
Alternatives and similar repositories for NIMCGCN:
Users that are interested in NIMCGCN are comparing it to the libraries listed below
- ☆17Updated 6 years ago
- Inferring disease-associated miRNAs☆10Updated 4 years ago
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆22Updated last year
- Realizing DTINet with python☆27Updated 6 years ago
- ☆10Updated 3 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 2 years ago
- The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”☆14Updated 3 years ago
- Heterogeneous disease-gene-related☆18Updated 3 years ago
- ☆23Updated 8 years ago
- ☆10Updated 2 years ago
- ☆10Updated 3 years ago
- BNNR is a novel computational method, which utilizes Bounded Nuclear Norm Regularization algorithm to identify potential novel indication…☆11Updated 2 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆25Updated 3 years ago
- ☆9Updated 3 years ago
- Implementation of AEMDA for inferring potential disease-miRNA associations.☆13Updated 3 years ago
- Prediction of lncRNA-disease associations based on inductive matrix completion☆20Updated 6 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
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆77Updated 10 months ago
- ☆53Updated 5 years ago
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆14Updated 2 months ago
- A deep learning framework for predicting lncRNA–disease associations☆10Updated 4 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆52Updated last year
- ☆20Updated 3 years ago
- this is the source code and data☆18Updated 6 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆29Updated 2 years ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆16Updated 3 months ago
- ☆11Updated 3 years ago
- Predicting lncRNA-disease associations in heterogeneous network based on deep learning method.☆12Updated 4 years ago
- ☆18Updated last year
- Gene Disease Association Prediction Base On Graph Convolutional Networks☆10Updated 5 years ago