xbresson / spatial_graph_convnetsLinks
PyTorch implementation of residual gated graph ConvNets, ICLR’18
☆122Updated 6 years ago
Alternatives and similar repositories for spatial_graph_convnets
Users that are interested in spatial_graph_convnets are comparing it to the libraries listed below
Sorting:
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Graph convolutional recurrent neural network☆180Updated 7 years ago
- tensorflow-as-gcn☆90Updated 5 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 6 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 7 years ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆135Updated 6 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆314Updated 5 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆195Updated 4 years ago
- PyTorch implementation of spectral graph ConvNets, NeurIPS’16☆290Updated 7 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- ☆37Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆90Updated 5 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 6 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 6 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆285Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 6 years ago
- LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods☆80Updated 8 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- code for paper "Graph Structure of Neural Networks"☆155Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year