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GitHub topics: graph-diffusion

Graph-COM/ED-HNN

[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

Language: Python - Size: 390 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 45 - Forks: 6

kvignesh1420/rlap

[ICML 2023] Official implementation of "A randomized schur complement based graph augmentor"

Language: Python - Size: 400 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 8 - Forks: 0

yuntaoshou/Graph-Diffusion-Models-A-Comprehensive-Survey-of-Methods-and-Applications

Awesome Graph Diffusion Models is a collection of graph generation works, including papers, codes and datasets.

Size: 2.69 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 13 - Forks: 0

guoji-fu/DIGNN

[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models

Language: Python - Size: 5.17 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

basiralab/SM-netFusion-PY

Supervised graph diffusion and fusion.

Language: Jupyter Notebook - Size: 20.5 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

basiralab/BGSR

Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs?

Language: MATLAB - Size: 129 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

basiralab/SM-netFusion

SM-NetFusion for supervised multi-topology network cross-diffusion.

Language: MATLAB - Size: 127 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2