ML-on-structures / graph-lstmLinks
LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
☆79Updated 9 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
- Memory-Based Graph Networks☆104Updated 3 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆124Updated 7 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆74Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 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 6 years ago
- Graph Capsule Convolutional Neural Networks☆37Updated 6 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆120Updated 3 years ago
- Dual Attention Graph Convolutional Network☆90Updated 4 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 8 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated last year
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆41Updated 6 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆162Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- pytorch neural network attention mechanism☆148Updated 6 years ago
- Dual Graph Convolution Networks☆97Updated 7 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆102Updated 5 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆91Updated last year
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 7 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆125Updated last year
- Bringing node2vec and word2vec together for cool stuff☆22Updated 6 years ago