Marco
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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 …
Oriol Artime
,
Marco Grassia
,
Manlio De Domenico
,
James P. Gleeson
,
Hernán A. Makse
,
Giuseppe Mangioni
,
Matjaž Perc
,
Filippo Radicchi
PDF
Cite
Code
Dataset
DOI
URL
Learning fine-grained search space pruning and heuristics for combinatorial optimization
Combinatorial optimization problems arise naturally in a wide range of applications from diverse domains. Many of these problems are …
Juho Lauri
,
Sourav Dutta
,
Marco Grassia
,
Deepak Ajwani
Cite
DOI
URL
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 …
Marco Grassia
,
Giuseppe Mangioni
Cite
DOI
URL
Geometric Deep Learning Graph Pruning to Speed-Up the Run-Time of Maximum Clique Enumerarion Algorithms
In this paper we propose a method to reduce the running time to solve the Maximum Clique Enumeration (MCE) problem. Specifically, given …
Andrea Arciprete
,
Vincenza Carchiolo
,
Daniela Chiavetta
,
Marco Grassia
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
URL
Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks
Training Artificial Neural Networks (ANNs) is a non-trivial task. In the last years, there has been a growing interest in the academic …
Lucia Cavallaro
,
Marco Grassia
,
Giacomo Fiumara
,
Giuseppe Mangioni
,
Pasquale De Meo
,
Vincenza Carchiolo
,
Ovidiu Bagdasar
,
Antonio Liotta
Cite
DOI
URL
Network Topology to Predict Bibliometrics Indices: A Case Study
Vincenza Carchiolo
,
Marco Grassia
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
Link Prediction in Time Varying Social Networks
Vincenza Carchiolo
,
Christian Cavallo
,
Marco Grassia
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
Insights into countries’ exposure and vulnerability to food trade shocks from network-based simulations
In the context of a global food system, the dynamics associated to international food trade have become key determinants of food …
Marco Grassia
,
Giuseppe Mangioni
,
Stefano Schiavo
,
Silvio Traverso
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Cite
DOI
Efficient Node PageRank Improvement via Link Building using Geometric Deep Learning
Centrality is a relevant topic in the field of network research, due to its various theoretical and practical implications. In general, …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
PDF
Cite
DOI
Correlation between researchers’ centrality and h-index: a case study
V. Carchiolo
,
M. Grassia
,
M. Malgeri
,
G. Mangioni
Cite
Analysis of the co-authorship sub-networks of Italian academic researchers
Vincenza Carchiolo
,
Marco Grassia
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
(Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic
The outbreak of the Covid-19 pandemic led several governments to impose restrictions on the export of medical supplies. Despite being …
Marco Grassia
,
Giuseppe Mangioni
,
Stefano Schiavo
,
Silvio Traverso
Cite
DOI
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 …
Marco Grassia
,
Manlio De Domenico
,
Giuseppe Mangioni
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Cite
Code
Dataset
DOI
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction
Graph Neural Networks (GNNs) have been widely used to learn representations on graphs and tackle many real-world problems from a wide …
Marco Grassia
,
Giuseppe Mangioni
Cite
Code
DOI
URL
arXiv
Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks
Lucia Cavallaro
,
Marco Grassia
,
Giacomo Fiumara
,
Giuseppe Mangioni
,
Pasquale De Meo
,
Vincenza Carchiolo
,
Ovidiu Bagdasar
,
Antonio Liotta
Cite
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
Networks are a powerful tool to model complex systems, and the definition of many Graph Neural Networks (GNN), Deep Learning algorithms …
Marco Grassia
,
Manlio De Domenico
,
Giuseppe Mangioni
PDF
Cite
Code
Food Recommendation in a Worksite Canteen.
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
Analysis of the Co-authorship Sub-networks of Italian Academic Researchers
Vincenza Carchiolo
,
Marco Grassia
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
A Network-Based Analysis of a Worksite Canteen Dataset
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
Group Cohesion Assessment in Networks
Networks measurement is essential to catch and quantify their features, behaviour and/or emerging phenomena. The goal of cohesiveness …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
Learning fine-grained search space pruning and heuristics for combinatorial optimization
Combinatorial optimization problems arise in a wide range of applications from diverse domains. Many of these problems are NP-hard and …
Juho Lauri
,
Sourav Dutta
,
Marco Grassia
,
Deepak Ajwani
Cite
arXiv
Strategies comparison in link building problem
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
A network-based analysis to understand food-habits of a multi-company canteen's customers
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
A PageRank Inspired Approach to Measure Network Cohesiveness
Basics of PageRank algorithm have been widely adopted in its variations, tailored for specific scenarios. In this work, we consider the …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
Strategies Comparison in Link Building Problem
Choosing an effective yet efficient solution to the link building problem means to select which nodes in a network should point a …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
Network robustness improvement via long-range links
Many systems are today modelled as complex networks, since this representation has been proven being an effective approach for …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
Long distance connections for ranking and robustness enhancement in networks
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
Learning Multi-Stage Sparsification for Maximum Clique Enumeration
We propose a multi-stage learning approach for pruning the search space of maximum clique enumeration, a fundamental computationally …
Marco Grassia
,
Juho Lauri
,
Sourav Dutta
,
Deepak Ajwani
Cite
arXiv
Long Distance In-Links for Ranking Enhancement
Ranking is a widely used technique to classify nodes in networks according to their relevance. Increasing one’s rank is a desiderable …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
Exploiting Long Distance Connections to Strengthen Network Robustness
Network fault tolerance (also known as resilience or robustness) is becoming a highly relevant topic, expecially in real networks, …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
Climbing Ranking Position via Long-Distance Backlinks
The best attachment consists in finding a good strategy that allows a node inside a network to achieve a high rank. This is an open …
Vincenza Carchiolo
,
Marco Grassia
,
Alessandro Longheu
,
Michele Malgeri
,
Giuseppe Mangioni
Cite
DOI
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