AndreasBergmeister / graph-generationLinks
Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"
☆15Updated 4 months ago
Alternatives and similar repositories for graph-generation
Users that are interested in graph-generation are comparing it to the libraries listed below
Sorting:
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆72Updated 4 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Updated 3 years ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆40Updated 11 months ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 6 months ago
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆22Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆36Updated last year
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆40Updated last year
- ☆22Updated 2 years ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆184Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- ☆21Updated 2 years ago
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆38Updated 6 months ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆33Updated 2 years ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- ☆220Updated 2 years ago
- The survey on diffusion-based graph genrative methods☆21Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆60Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆104Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆31Updated 3 years ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆65Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆31Updated last year
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆28Updated 5 months ago
- ☆24Updated last year
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆115Updated 2 years ago
- List of papers on NeurIPS2023☆90Updated 2 years ago