Txinru / MMGCNLinks
MMGCN:Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction
☆20Updated 4 years ago
Alternatives and similar repositories for MMGCN
Users that are interested in MMGCN are comparing it to the libraries listed below
Sorting:
- ☆26Updated 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
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆23Updated 2 years ago
- ☆39Updated 4 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 3 years ago
- Inferring disease-associated miRNAs☆10Updated 5 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- ☆26Updated 3 years ago
- The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”☆14Updated 4 years ago
- KDD'22☆64Updated 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
- ☆18Updated 7 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆36Updated last year
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 6 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆91Updated last year
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆25Updated 3 years ago
- Reimplementation of Graph Embedding methods by Pytorch.☆177Updated 3 years ago
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆21Updated 5 years ago
- ☆18Updated last year
- ☆12Updated last year
- ☆55Updated 3 years ago
- reproduce two famous GNN model, GCN and GAT☆25Updated 4 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆61Updated 4 years ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆33Updated 4 years ago
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆89Updated 2 years ago
- Semi-Supervised classification with Graph Convolution Networks using Pytorch☆53Updated 4 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆18Updated 3 years ago
- ☆11Updated 4 years ago