sheng-n / DL-miRNA-disease-association-methods
☆17Updated last year
Alternatives and similar repositories for DL-miRNA-disease-association-methods:
Users that are interested in DL-miRNA-disease-association-methods are comparing it to the libraries listed below
- ☆10Updated 9 months ago
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆14Updated 4 months ago
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆12Updated last year
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆53Updated 2 years ago
- ☆10Updated 3 years ago
- MMGCN:Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 3 years ago
- Drug-Target Interaction Prediction with GraphAttention networks☆17Updated 4 years ago
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆22Updated 2 years ago
- ☆9Updated 4 years ago
- ☆25Updated 2 years ago
- bioinformatics,miRNA, circRNA, lncRNA, microbe, protein, drug, disease, virus☆30Updated last year
- ☆17Updated 2 years ago
- ☆10Updated 3 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆17Updated last year
- The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”☆14Updated 3 years ago
- ☆14Updated last year
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 2 years ago
- ☆19Updated last year
- ☆10Updated 2 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆43Updated 3 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
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆84Updated 5 months ago
- NRLMFβ: Bata-distribution-rescored Neighborhood Regularized Logistic Matrix Factorization for Improving Performance of Drug–Target Intera…☆11Updated 3 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆26Updated 3 years ago
- ☆23Updated 8 years ago
- ☆19Updated last year
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆17Updated 4 months ago
- Prediction of lncRNA-disease associations based on inductive matrix completion☆21Updated 6 years ago
- ☆17Updated 6 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 2 years ago