rusty1s / embedded_gcnn
Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
☆78Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for embedded_gcnn
- ☆32Updated 6 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 5 years ago
- Implementation of Planar Graph Convolutional Networks in TensorFlow☆43Updated 7 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58Updated 5 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆291Updated 7 years ago
- Implementation of https://arxiv.org/abs/1703.00792.☆45Updated 7 years ago
- Dual Graph Convolution Networks☆93Updated 5 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆283Updated 4 years ago
- Metric Learning with Graph Convolutional Neural Networks☆204Updated 6 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆60Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆133Updated 5 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Updated 2 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆77Updated 4 years ago
- Collection of graph neural networks in pytorch☆50Updated 6 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆121Updated 6 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- TensorFlow implementation of Deep Graph Infomax☆63Updated 6 years ago
- Dual Attention Graph Convolutional Network☆87Updated 3 years ago
- ☆211Updated 4 years ago
- Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation☆61Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 6 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆327Updated 4 years ago
- Graph convolutional recurrent neural network☆178Updated 6 years ago
- The official implementation of the SGCN architecture.☆61Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆192Updated 8 months ago
- Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)☆253Updated 5 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 4 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆326Updated 6 years ago
- ☆32Updated 7 years ago