kilianhae / discrete_DPPM_Graphs
Diffusion Models for Graphs Benefit From Discrete State Spaces
☆33Updated last year
Alternatives and similar repositories for discrete_DPPM_Graphs:
Users that are interested in discrete_DPPM_Graphs are comparing it to the libraries listed below
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆27Updated 2 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆58Updated 11 months ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆96Updated last year
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆34Updated 3 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆80Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆22Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆31Updated 10 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆41Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆80Updated 6 months ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆56Updated last year
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 8 months ago
- Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 20…☆20Updated 2 years ago
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆15Updated 6 months ago
- ☆31Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆20Updated last year
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆169Updated last year
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆36Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 2 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆56Updated this week
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆12Updated 10 months ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆31Updated 11 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆56Updated 2 years ago