Awesome Graph Diffusion Models is a collection of graph generation works, including papers, codes and datasets.
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Aug 27, 2025
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graph-diffusion
Here are 12 public repositories matching this topic...
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
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Aug 16, 2024 - Python
[ICML 2023] Official implementation of "A randomized schur complement based graph augmentor"
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Jun 29, 2024 - Python
[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models
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Dec 7, 2023 - Python
Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs?
machine-learning unsupervised-learning super-resolution cbt brain-connectivity brain-graph graph-topology graph-superresolution multi-kernel-learning connectional-brain-template graph-diffusion high-resolution-graph low-resolution-graph
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Aug 9, 2020 - MATLAB
Supervised graph diffusion and fusion.
machine-learning clustering supervised-learning data-integration graph-data manifold-learning diffusion brain-connectivity brain-network data-fusion network-neuroscience computer-aided-diagnosis brain-connectome network-atlas graph-fusion graph-diffusion sm-netfusion
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Feb 7, 2021 - Jupyter Notebook
SM-NetFusion for supervised multi-topology network cross-diffusion.
machine-learning clustering supervised-learning graph-data brain-connectivity autism-spectrum-disorder network-neuroscience computer-aided-diagnosis brain-networks graph-topology network-integration network-atlas network-fusion graph-diffusion sm-netfusion
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Sep 27, 2020 - MATLAB
Official implementation of CoPHo (KDD 2026).
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Dec 24, 2025 - Python
Enhancing Spatiotemporal Supply Chain Forecasting Using Virtual Node-Augmented Graph Diffusion for Improved Fuel Efficiency
sustainability graph-algorithms supply-chain spatio-temporal-analysis supply-chain-analytics graph-neural-networks virtual-nodes gnn fuel-efficiency spatio-temporal-graph supply-chain-optimization diffusion-models graph-diffusion supply-chain-data-science graph-neural-net spatio-temporal-gnns
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Jun 12, 2026 - Python
Information-Geometric Adaptive Sampling for Graph Diffusion
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Sep 14, 2026 - Python
Latent Graph Diffusion 论文复现 | 图扩散生成 + 节点分类 | PyTorch + PyG
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Mar 1, 2026 - Python
atlas — few-label learning on a manifold. One label per class recovers ~95% of MNIST when the metric is good enough (graph diffusion), and hurts when it isn't. Visual, reproducible study of edge purity, phase transitions, and label budgets.
mnist semi-supervised-learning manifold-learning label-propagation few-shot contrastive-learning graph-diffusion
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Sep 24, 2026 - Python
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