Long Distance In-Links for Ranking Enhancement. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (IDC, 2018)

Climbing Ranking Position via Long-Distance Backlinks. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (IDCS, 2018)

Exploiting Long Distance Connections to Strengthen Network Robustness. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (IDCS, 2018)

Strategies Comparison in Link Building Problem. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (IDC, 2019)

A PageRank Inspired Approach to Measure Network Cohesiveness. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (IDCS, 2019)

Learning Multi-Stage Sparsification for Maximum Clique Enumeration. - Marco Grassia; Juho Lauri; Sourav Dutta 001; Deepak Ajwani (CoRR, 2019)

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 (iiWAS, 2020)

Food Recommendation in a Worksite Canteen. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (COMPLEXIS, 2021)

Analysis of the Co-authorship Sub-networks of Italian Academic Researchers. - Vincenza Carchiolo; Marco Grassia; Michele Malgeri; Giuseppe Mangioni (COMPLEX NETWORKS, 2021)

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 (COMPLEX NETWORKS, 2021)

wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction. - Marco Grassia; Giuseppe Mangioni (COMPLEX NETWORKS, 2021)

Preliminary Characterization of Italian Academic Scholars by Their Bibliometrics. - Vincenza Carchiolo; Marco Grassia; Michele Malgeri; Giuseppe Mangioni (IDC, 2021)

A Network-Based Analysis of a Worksite Canteen Dataset. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (Big Data Cogn. Comput., 2021)

(Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic. - Marco Grassia; Giuseppe Mangioni; Stefano Schiavo; Silvio Traverso (J. Complex Networks, 2021)

Machine learning dismantling and early-warning signals of disintegration in complex systems. - Marco Grassia; Manlio De Domenico; Giuseppe Mangioni (CoRR, 2021)

mGNN: Generalizing the Graph Neural Networks to the Multilayer Case. - Marco Grassia; Manlio De Domenico; Giuseppe Mangioni (CoRR, 2021)

Geometric Deep Learning Graph Pruning to Speed-Up the Run-Time of Maximum Clique Enumerarion Algorithms. - A. Arciprete; Vincenza Carchiolo; D. Chiavetta; Marco Grassia; Michele Malgeri; Giuseppe Mangioni (COMPLEX NETWORKS (1), 2022)

Correlation Between Researchers' Centrality and H-Index: A Case Study. - Vincenza Carchiolo; Marco Grassia; Michele Malgeri; Giuseppe Mangioni (IDC, 2022)

Network Topology to Predict Bibliometrics Indices: A Case Study. - Vincenza Carchiolo; Marco Grassia; Michele Malgeri; Giuseppe Mangioni (iiWAS, 2022)

Co-Authorship Networks Analysis to Discover Collaboration Patterns among Italian Researchers. - Vincenza Carchiolo; Marco Grassia; Michele Malgeri; Giuseppe Mangioni (Future Internet, 2022)

Link Prediction in Time Varying Social Networks. - Vincenza Carchiolo; Christian Cavallo; Marco Grassia; Michele Malgeri; Giuseppe Mangioni (Inf., 2022)

Learning fine-grained search space pruning and heuristics for combinatorial optimization. - Juho Lauri; Sourav Dutta 001; Marco Grassia; Deepak Ajwani (J. Heuristics, 2023)

Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning. - Vincenza Carchiolo; Marco Grassia; Alessandro Longheu; Michele Malgeri; Giuseppe Mangioni (ACM Trans. Knowl. Discov. Data, 2023)

Saliency Matters: From Nodes to Objects. - Mohammad Moradi 001; Morteza Moradi 001; Marco Grassia; Giuseppe Mangioni (GbRPR, 2025)

Machine Learning Supernovae's Progenitor Characterization. - Marco Grassia; Stefano Pio Cosentino; Maria Letizia Pumo; Giuseppe Mangioni (PDP, 2025)