iakovosevdaimon / Neural-Graph-GeneratorLinks
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
☆25Updated last year
Alternatives and similar repositories for Neural-Graph-Generator
Users that are interested in Neural-Graph-Generator are comparing it to the libraries listed below
Sorting:
- ☆207Updated 2 years ago
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆60Updated last month
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆33Updated 6 months ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆28Updated 2 years ago
- ☆35Updated 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
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆127Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆100Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆45Updated last year
- Transformer-based Spectral Graph Neural Networks☆86Updated 9 months ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆33Updated last year
- [Neurips 2024] Disentangled Graph Homophily☆26Updated 5 months ago
- ☆56Updated 8 months ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆160Updated last year
- code for kdd feasibiiity☆12Updated 2 years ago
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆46Updated 11 months ago
- ☆343Updated 6 months ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆29Updated last year
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- ☆13Updated last year
- ☆89Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated 2 years ago
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆38Updated 6 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆39Updated 8 months ago