Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
☆485Aug 3, 2023Updated 3 years ago
Alternatives and similar repositories for GRAN
Users that are interested in GRAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Jan 20, 2022Updated 4 years ago
- ☆430Mar 8, 2019Updated 7 years ago
- Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)☆173Oct 29, 2018Updated 8 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆317Oct 18, 2019Updated 7 years ago
- GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation☆59Jul 6, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆359Oct 12, 2022Updated 4 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Aug 23, 2022Updated 4 years ago
- Position-aware Graph Neural Networks☆404Oct 12, 2020Updated 6 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆61Jan 12, 2019Updated 7 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆115Jul 6, 2023Updated 3 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆199Dec 7, 2020Updated 5 years ago
- Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs☆294Oct 25, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- code for "Residual Flows for Invertible Generative Modeling".☆276Sep 19, 2023Updated 3 years ago
- Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)☆564Dec 1, 2022Updated 3 years ago
- Autoregressive Energy Machines☆78Nov 22, 2022Updated 3 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆407Nov 6, 2022Updated 4 years ago
- Graph Neural Network Library for PyTorch☆24,136Updated this week
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆99Jun 21, 2022Updated 4 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,279Mar 18, 2023Updated 3 years ago
- Code for Graph Normalizing Flows.☆65Oct 28, 2019Updated 7 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,291Jul 31, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆545Sep 10, 2026Updated last month
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆538Nov 22, 2019Updated 6 years ago
- Build Graph Nets in Tensorflow☆5,408Dec 12, 2022Updated 3 years ago
- PyTorch implementation of "Image-Conditioned Graph Generation for Road Network Extraction"☆83Sep 5, 2024Updated 2 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- ☆11Apr 16, 2020Updated 6 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,083Feb 15, 2023Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆55Dec 8, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- How Powerful are Graph Neural Networks?☆1,287Jul 1, 2021Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆201Mar 6, 2024Updated 2 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆290Oct 25, 2020Updated 6 years ago
- Official Code for Invertible Residual Networks☆535Jul 28, 2024Updated 2 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,101May 6, 2025Updated last year
- Pytorch implementation of the Power Spherical distribution☆76Jul 21, 2024Updated 2 years ago