tufts-ml / graph-generation-EDGELinks
EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
☆60Updated last month
Alternatives and similar repositories for graph-generation-EDGE
Users that are interested in graph-generation-EDGE are comparing it to the libraries listed below
Sorting:
- ☆207Updated 2 years ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆172Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆38Updated 6 months ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆33Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆28Updated 2 years ago
- List of papers on NeurIPS2023☆89Updated last year
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆14Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆13Updated last year
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆25Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆126Updated 7 months ago
- Transformer-based Spectral Graph Neural Networks☆86Updated 9 months ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆64Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆33Updated 6 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- ☆35Updated last year
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- ☆89Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆160Updated last year
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆198Updated 4 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆100Updated last year
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆46Updated 10 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆45Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆16Updated 9 months ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆52Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year