CoreGDM: Network Decycling and Dismantling
A trainable dismantling algorithm that attacks the 2-core of a network, available in the Network Dismantling review package.
About the resource
CoreGDM was introduced in:
M. Grassia and G. Mangioni. CoreGDM: Geometric Deep Learning Network Decycling and Dismantling. Complex Networks XIV (2023).
It merges the GDM framework with the CoreHD algorithm: it attacks the 2-core of the network, using a learned score in place of the node degree.
Use the resource
The CoreGDM repository points to the review package for now; the stand-alone code is not published yet.
Citation and licence
Please cite the paper. The code is released under GPLv3.