sheng-n / DL-miRNA-disease-association-methodsLinks
☆18Updated 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
Sorting:
- MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction☆20Updated 4 years ago
- ☆12Updated last year
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 3 years ago
- ☆26Updated 4 years ago
- ☆10Updated 5 years ago
- ☆17Updated 3 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆55Updated 2 years ago
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆13Updated 2 years ago
- Disease subnetwork detection with explainable Graph Neural Networks☆26Updated last year
- ☆41Updated last year
- Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image…☆24Updated 2 years ago
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆23Updated 2 years ago
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆15Updated 11 months ago
- A simple implementation of the paper "Disease Prediction via Graph Neural Networks".☆22Updated 4 years ago
- ☆11Updated 4 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆89Updated last year
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆18Updated 2 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- Some GNNs are implemented using PyG for node classification tasks, including: GCN, GraphSAGE, SGC, GAT, R-GCN and HAN (Heterogeneous Grap…☆141Updated 2 years ago
- Source code and supplementary materials for paper "Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Ass…☆16Updated 2 years ago
- ☆25Updated 2 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
- ☆39Updated 4 years ago
- HyperTMO: A trusted multi-omics integration framework based on Hypergraph convolutional network for patient classification☆11Updated last year
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆34Updated 3 years ago
- ☆116Updated 4 years ago
- KDD'22☆64Updated 3 years ago
- ☆49Updated 11 months ago
- ☆18Updated last year