Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"
☆17Aug 27, 2025Updated last year
Alternatives and similar repositories for graph-generation
Users that are interested in graph-generation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆82Aug 18, 2025Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆71Jun 3, 2025Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆46Mar 16, 2026Updated 6 months ago
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆22Sep 26, 2024Updated 2 years ago
- ☆13Feb 25, 2025Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆27Mar 25, 2024Updated 2 years ago