How to fuse a population of graphs into a single one using graph neural networks?
-
Updated
Oct 24, 2023 - Python
How to fuse a population of graphs into a single one using graph neural networks?
Multigraph fusion and classification network using graph neural network
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.
SM-NetFusion for supervised multi-topology network cross-diffusion.
NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
Add a description, image, and links to the network-fusion topic page so that developers can more easily learn about it.
To associate your repository with the network-fusion topic, visit your repo's landing page and select "manage topics."