russchua / Graph-Attention-NetworksLinks
Graph Attention Networks in Tensorflow 2.0
☆13Updated 5 years ago
Alternatives and similar repositories for Graph-Attention-Networks
Users that are interested in Graph-Attention-Networks are comparing it to the libraries listed below
Sorting:
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variation…☆8Updated 4 years ago
- Graph Neural Networks for Community Detection☆63Updated 5 years ago
- Node Embeddings in Dynamic Graphs☆56Updated 3 years ago
- The source code of kdd2019 project☆25Updated 4 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆133Updated 4 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 3 years ago
- Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hen…☆46Updated last year
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆53Updated 5 years ago
- ☆31Updated 2 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- ☆50Updated 2 years ago
- PyTorch Implement for Path Attention Graph Network☆43Updated 6 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 4 years ago
- Link prediction using GCN on pytorch☆17Updated 4 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- Advancing GraphSAGE with A Data-driven Node Sampling☆26Updated 2 years ago
- ☆21Updated last year
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)☆20Updated 3 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Implementation of the CTDNE algorithm.☆20Updated 6 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆161Updated 5 years ago
- Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions☆12Updated 5 years ago
- ☆39Updated 2 years ago