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:
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆65Updated 2 months ago
- ☆214Updated 2 years ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆34Updated 8 months ago
- Directional diffusion models☆42Updated 9 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆101Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆29Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models☆10Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆129Updated last year
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆34Updated last year
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆65Updated last week
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆173Updated last year
- code for kdd feasibiiity☆12Updated 2 years ago
- ☆35Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆47Updated last year
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆53Updated 6 months ago
- [SIGKDD 2024] Rethinking Fair Graph Neural Networks from Re-balancing☆11Updated last year
- ☆29Updated last year
- Transformer-based Spectral Graph Neural Networks☆84Updated 10 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆24Updated last year
- [Neurips 2024] Disentangled Graph Homophily☆26Updated 7 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆40Updated 10 months ago
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆38Updated 7 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated last year
- A curated list of papers on graph transfer learning (GTL).☆17Updated last year