[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
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graph-diffusion
Here are 11 public repositories matching this topic...
[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
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
MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation (NeurIPS 2026)
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Oct 15, 2026 - Python
Code for "Scaling Diffusion Models to Large Sparse Graphs"
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Oct 5, 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
Bayesian calibration and stress-testing of a multilayer graph diffusion model on spatial transcriptomics time courses (mouse kidney ischaemia–reperfusion, GSE182939 and GSE269622). Code and results for an LNBI chapter.
kidney bayesian-inference identifiability jax spatial-transcriptomics numpyro visium graph-diffusion
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Nov 9, 2026 - Python
Information-Geometric Adaptive Sampling for Graph Diffusion
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Oct 12, 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
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