danielegrattarola / keras-gatLinks
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
☆489Updated 4 years ago
Alternatives and similar repositories for keras-gat
Users that are interested in keras-gat are comparing it to the libraries listed below
Sorting:
- Semi-supervised learning with graph embeddings☆922Updated 5 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆659Updated last year
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆527Updated 4 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆801Updated 2 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- Simple reference implementation of GraphSAGE.☆1,029Updated 5 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆817Updated 6 years ago
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- code of HetGNN☆411Updated 5 years ago
- Heterogeneous Graph Neural Network☆1,155Updated 5 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆535Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- ☆495Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆646Updated 2 years ago
- ☆352Updated 5 years ago
- This is a tutorial for PyTorch Geometric on the YooChoose dataset☆316Updated 6 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆829Updated 2 years ago
- Graph Markov Neural Networks☆411Updated 5 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆532Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆477Updated 6 years ago
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆506Updated 7 months ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆573Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆353Updated 5 years ago
- Keras implementation of Graph Convolutional Networks☆791Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆858Updated last year
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆624Updated last year
- DeepInf: Social Influence Prediction with Deep Learning☆295Updated 5 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago