EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
☆70Jun 3, 2025Updated last year
Alternatives and similar repositories for graph-generation-EDGE
Users that are interested in graph-generation-EDGE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆29Jun 3, 2025Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆46Mar 16, 2026Updated 4 months ago
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆527Apr 3, 2025Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Feb 6, 2022Updated 4 years ago
- ☆29Jun 25, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆81Aug 18, 2025Updated 11 months ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆192Nov 16, 2023Updated 2 years ago
- Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)☆22Sep 26, 2024Updated last year
- Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"☆17Aug 27, 2025Updated 11 months ago
- Code Repository for GDSS using Graph Transformer☆17Nov 16, 2023Updated 2 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆72Apr 25, 2025Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Jun 15, 2024Updated 2 years ago
- ☆222Jun 9, 2023Updated 3 years ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Oct 29, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆27Mar 25, 2024Updated 2 years ago
- Official Code Repository for the paper "Graph Generation with Diffusion Mixture" (ICML 2024).☆35May 20, 2024Updated 2 years ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆34May 6, 2023Updated 3 years ago
- The survey on diffusion-based graph genrative methods☆22Dec 30, 2024Updated last year
- Official implementation of the paper: "DeFoG: Discrete Flow Matching for Graph Generation"☆69Feb 3, 2026Updated 5 months ago
- Code for ICLR'24 Paper "Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks"☆10Mar 12, 2024Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆33Dec 10, 2022Updated 3 years ago
- Implementation of ICML2023 paper : Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D☆51Jul 17, 2023Updated 3 years ago
- ☆22Jan 8, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 2 years ago
- SwinGNN: diffusion model for graph generation☆87Dec 24, 2025Updated 7 months ago
- [ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs☆30Jan 26, 2025Updated last year
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Apr 15, 2024Updated 2 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆25Feb 27, 2023Updated 3 years ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆16Nov 6, 2023Updated 2 years ago
- Official implementation of "Learning the language of protein structures"☆42Mar 18, 2026Updated 4 months ago
- This is the implementation and supplemental materials for paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"☆17Mar 30, 2020Updated 6 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆94Nov 24, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆10Jun 11, 2023Updated 3 years ago
- Cross Entropy Low-rank Logits for graph generation.☆19Jun 30, 2026Updated 3 weeks ago
- An VGAE implementation using pytorch geometric.☆49Jun 6, 2020Updated 6 years ago
- A Simple and Scalable Representation for Graph Generation (ICLR 2024)☆21Mar 19, 2024Updated 2 years ago
- source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"☆26Jul 7, 2021Updated 5 years ago
- Scalable and privacy-enhanced graph generative models for benchmark graph neural networks☆17Nov 1, 2023Updated 2 years ago
- ☆11Jul 12, 2022Updated 4 years ago