harryjo97 / GruMLinks
Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).
☆31Updated last year
Alternatives and similar repositories for GruM
Users that are interested in GruM are comparing it to the libraries listed below
Sorting:
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆30Updated 5 months ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆59Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆35Updated 4 months ago
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆25Updated 7 months ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆170Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆32Updated last year
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆15Updated 8 months ago
- ☆19Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Official Pytorch implementation of NeuralWalker☆33Updated last year
- Transformer-based Spectral Graph Neural Networks☆82Updated 7 months ago
- The official implementation of the ICML'24 paper "A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer".☆41Updated 2 months ago
- Directional diffusion models☆38Updated 7 months ago
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆13Updated 11 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- [Preprint] Graph State Space Convolution (GSSC)☆13Updated 11 months ago
- Code for the paper "Generative Modelling of Structurally Constrained Graphs"☆12Updated 2 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- ☆35Updated last year
- The official implementation of NeurIPS2024 paper "SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning."☆10Updated last week
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 9 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆98Updated last year
- This is the official implementation for Equivariant Enengy-guided SDE for Inverse Molecule Design (ICLR 2023)☆47Updated last year
- ☆204Updated last year
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated 2 weeks ago
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆22Updated last year
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆68Updated last week