AndreasBergmeister / graph-generationLinks
Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"
☆13Updated last year
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'☆61Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆36Updated 5 months ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆57Updated 3 weeks ago
- ☆20Updated 2 years ago
- This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…☆27Updated 8 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆33Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆13Updated last year
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆15Updated 9 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 3 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Official Pytorch implementation of NeuralWalker☆33Updated last year
- [Preprint] Graph State Space Convolution (GSSC)☆13Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆28Updated 2 years ago
- Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts☆16Updated 5 months ago
- ☆31Updated last year
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆62Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆99Updated last year
- A curated list of papers related to molecular diffusion models.☆39Updated 2 weeks ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆125Updated 6 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated 3 weeks ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆32Updated 6 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".☆61Updated 11 months ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆37Updated last year
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆12Updated last year
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆56Updated last year