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:
- source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"☆19Updated 4 years ago
- ☆25Updated 2 years ago
- KDD'22☆64Updated 2 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 2 years ago
- ☆39Updated 4 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
- WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering☆88Updated 2 years ago
- ☆53Updated 2 years ago
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆13Updated 2 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 3 years ago
- ☆25Updated 3 years ago
- The code of AGCN (Attention-driven Graph Clustering Network), which is accepted by ACM MM 2021.☆35Updated last year
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated last year
- Hypergraph convolution and attention networks research☆14Updated last year
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- PyTorch implementation of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf☆116Updated 4 years ago
- ☆38Updated 2 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆65Updated last year
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆23Updated 2 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 6 years ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆12Updated 2 years ago
- CIKM2022: source code for "hypergraph learning with line expansion" paper☆20Updated 2 years ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆54Updated 2 years ago
- ☆16Updated 2 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 2 years ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆17Updated 3 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆116Updated 5 months ago
- The Tensorflow Implementation of paper Self-supervised Graph Convolutional Network For Multi-view Clustering☆36Updated 3 years ago
- Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.☆38Updated last year