mdeff / cnn_graphLinks
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
☆1,363Updated 5 years ago
Alternatives and similar repositories for cnn_graph
Users that are interested in cnn_graph are comparing it to the libraries listed below
Sorting:
- Implementation of Graph Auto-Encoders in TensorFlow☆1,711Updated 5 years ago
- Graph Convolutional Networks (GCNs)☆920Updated 7 years ago
- Keras implementation of Graph Convolutional Networks☆792Updated 4 years ago
- Semi-supervised learning with graph embeddings☆929Updated 5 years ago
- Simple reference implementation of GraphSAGE.☆1,033Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆845Updated 3 years ago
- How Powerful are Graph Neural Networks?☆1,246Updated 4 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆803Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆491Updated 4 years ago
- ☆497Updated 4 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,269Updated 2 years ago
- Papers on Graph neural network(GNN)☆767Updated 2 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆727Updated 3 years ago
- Sample Code for Gated Graph Neural Networks☆1,027Updated 5 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆818Updated 6 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,424Updated 3 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆536Updated 5 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆650Updated 2 years ago
- ☆428Updated 6 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,598Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,215Updated 6 months ago
- ☆1,283Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆663Updated 2 years ago
- Graph Markov Neural Networks☆411Updated 5 years ago
- Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)☆3,066Updated 2 years ago
- A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)☆600Updated 2 years ago
- PyTorch implementation of DGCNN☆392Updated 2 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆468Updated 6 years ago