JiaxuanYou / graph-generationLinks
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
☆735Updated 3 years ago
Alternatives and similar repositories for graph-generation
Users that are interested in graph-generation are comparing it to the libraries listed below
Sorting:
- ☆432Updated 6 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆478Updated 2 years ago
- ☆505Updated 5 years ago
- Position-aware Graph Neural Networks☆401Updated 5 years ago
- Graph Markov Neural Networks☆411Updated 5 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆661Updated 3 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Updated 4 years ago
- How Powerful are Graph Neural Networks?☆1,266Updated 4 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Updated 7 months ago
- Graph Auto-Encoder in PyTorch☆441Updated last year
- Strategies for Pre-training Graph Neural Networks☆1,048Updated 2 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 5 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆657Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆490Updated 7 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆315Updated 6 years ago
- Neural relational inference for interacting systems - pytorch☆767Updated 6 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆538Updated 6 years ago
- gnn explainer☆1,025Updated last year
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆287Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆200Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆476Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,038Updated 5 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆189Updated 3 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆296Updated 3 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆337Updated 5 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,071Updated 2 years ago