GRAPH-0 / GraphGDP
Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
☆26Updated 2 years ago
Alternatives and similar repositories for GraphGDP:
Users that are interested in GraphGDP are comparing it to the libraries listed below
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆32Updated 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
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆57Updated 10 months ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆167Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆69Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆44Updated 7 months ago
- Transformer-based Spectral Graph Neural Networks☆79Updated 5 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated last year
- Edge-Augmented Graph Transformer☆75Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆117Updated 3 months ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 10 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated last year
- ☆30Updated last year
- ☆195Updated last year
- A graph transformer framework☆77Updated 2 years ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆28Updated 10 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 9 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆121Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- ☆20Updated last year
- Official Pytorch implementation of NeuralWalker☆29Updated 9 months ago
- ☆51Updated 4 months ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆42Updated 2 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 2 years ago
- SignNet and BasisNet☆96Updated last year
- A List of Papers on Theoretical Foundations of Graph Neural Networks☆29Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆42Updated 10 months ago