qym7 / SparseDiffLinks
Official implementation for 'Sparse denoising diffusion for large graph generation'
☆61Updated last year
Alternatives and similar repositories for SparseDiff
Users that are interested in SparseDiff are comparing it to the libraries listed below
Sorting:
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆57Updated 3 weeks ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆36Updated 5 months ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆32Updated 6 months ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆33Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆28Updated 2 years ago
- Official implementation of the paper: "DeFoG: Discrete Flow Matching for Graph Generation"☆18Updated 2 weeks ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- SignNet and BasisNet☆98Updated last year
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆27Updated 8 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆172Updated last year
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆24Updated last year
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆34Updated 2 years ago
- ☆31Updated last year
- Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"☆13Updated last year
- Official Pytorch implementation of NeuralWalker☆33Updated last year
- [Preprint] Graph State Space Convolution (GSSC)☆13Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 10 months ago
- ☆59Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆83Updated 8 months ago
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- ☆20Updated 2 years ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆33Updated 2 years ago
- ☆205Updated 2 years ago
- Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Fran…☆42Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆99Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆28Updated 10 months ago
- ☆19Updated last year