Network Dismantling

Influence of the reinsertion algorithm on the performance of the Vertex Entanglement method

Latent Geometry-Driven Network Automata for Complex Network Dismantling

Complex networks model the structure and function of critical technological, biological, and communication systems. Network dismantling, the targeted removal of nodes to fragment a …

Robustness and resilience of complex networks

Complex networks are ubiquitous: a cell, the human brain, a group of people and the Internet are all examples of interconnected many-body systems characterized by macroscopic …

Network Dismantling Review: Code and Data

Code, benchmark networks and reproducibility material associated with the 2024 review on robustness and resilience of complex networks.

Edge Dismantling with Geometric Reinforcement Learning

The robustness of networks plays a crucial role in various applications. Network dismantling, the process of strategically removing nodes or edges to maximize damage, is a known …

CoreGDM: Network Decycling and Dismantling

A trainable dismantling algorithm that attacks the 2-core of a network, available in the Network Dismantling review package.

CoreGDM: Geometric Deep Learning Network Decycling and Dismantling

Network dismantling deals with the removal of nodes or edges to disrupt the largest connected component of a network. In this work we introduce CoreGDM, a trainable algorithm for …

Machine learning dismantling and early-warning signals of disintegration in complex systems

From physics to engineering, biology and social science, natural and artificial systems are characterized by interconnected topologies whose features – e.g., heterogeneous …

GDM: Graph Dismantling with Machine Learning

Code, training and test networks, and pre-trained models from the 2021 paper on machine learning dismantling and early-warning signals.