yujiali / ggnn
Gated Graph Sequence Neural Networks
☆275Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for ggnn
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆465Updated 5 years ago
- Weekly reading group on Graphs at Mila☆279Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆520Updated 3 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆311Updated 5 years ago
- tensorflow-as-gcn☆92Updated 5 years ago
- ☆415Updated 5 years ago
- Graph convolutional recurrent neural network☆178Updated 6 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- Code to accompany the paper "Learning Graphical State Transitions"☆169Updated 7 years ago
- Training computational graph on top of structured data (string, graph, etc)☆288Updated 3 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆173Updated 6 years ago
- ☆136Updated 4 years ago
- pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)☆307Updated 5 years ago
- Sample Code for Graph Partition Neural Networks☆93Updated 5 years ago
- Graph Markov Neural Networks☆401Updated 4 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆191Updated 3 years ago
- Sample Code for Gated Graph Neural Networks☆1,028Updated 5 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆697Updated 2 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- ☆479Updated 3 years ago
- TensorFlow implementation of Deep Graph Infomax☆63Updated 6 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- ☆170Updated 5 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆529Updated 5 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆133Updated 5 years ago
- Multi-Graph Convolutional Neural Networks☆251Updated 6 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆73Updated 7 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆155Updated 6 years ago