ethanfetaya / NRILinks
Neural relational inference for interacting systems - pytorch
☆756Updated 5 years ago
Alternatives and similar repositories for NRI
Users that are interested in NRI are comparing it to the libraries listed below
Sorting:
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆478Updated last year
- ☆422Updated 6 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆719Updated 3 years ago
- Graph Markov Neural Networks☆410Updated 4 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,688Updated 5 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- ☆491Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆314Updated 5 years ago
- Graph Auto-Encoder in PyTorch☆433Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- Graph convolutional recurrent neural network☆179Updated 7 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆349Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,217Updated 3 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- Keras-based implementation of Relational Graph Convolutional Networks☆813Updated 5 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Updated 2 years ago
- A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)☆596Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆622Updated 10 months ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- Weekly reading group on Graphs at Mila☆279Updated 6 years ago
- A tutorial on Graph Convolutional Neural Networks☆318Updated 4 years ago
- Contrastive Learning of Structured World Models☆392Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆842Updated 3 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆467Updated 5 years ago
- Simple reference implementation of GraphSAGE.☆1,022Updated 5 years ago
- ☆353Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 4 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,255Updated 2 years ago