ML-on-structures / graph-lstmLinks
LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
☆79Updated 8 years ago
Alternatives and similar repositories for graph-lstm
Users that are interested in graph-lstm are comparing it to the libraries listed below
Sorting:
- Graph convolutional recurrent neural network☆182Updated 7 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆124Updated 7 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 4 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- Graph Convolutional Networks for Text Classification.☆46Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Dual Graph Convolution Networks☆96Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- Graph Star Net☆110Updated 2 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆76Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- ☆35Updated 6 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆120Updated 3 years ago
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆101Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 4 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆211Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 3 years ago
- A python implementation of Patchy-San Convolutional Network for Graph☆41Updated 4 years ago
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago