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Publications

Salvatore Romano, Marco Grassia, Giuseppe Mangioni (2026). Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning.
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Thomas Adler, Marco Grassia, Ziheng Liao, Giuseppe Mangioni, Carlo Vittorio Cannistraci (2025). Latent Geometry-Driven Network Automata for Complex Network Dismantling. ICLR 2026.
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Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2025). What is Wrong with Visual Brain Decoding? A Saliency-based Investigation. Proceedings of the International Joint Conference on Neural Networks.
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Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2025). Saliency Matters: From Nodes to Objects. Graph-Based Representations in Pattern Recognition.
Marco Grassia, Stefano Pio Cosentino, Maria Letizia Pumo, Giuseppe Mangioni (2025). Machine Learning Supernovae’s Progenitor Characterization. 2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP).
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Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2025). How Well is Human Attention Preserved in fMRI-Based VisualBrain Decoding?. CHItaly 2025 - Proceedings of the 16th Biannual Conference of the Italian SIGCHI Chapter.
URL DOI
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2025). How Well is Human Attention Preserved in fMRI-Based Visual Brain Decoding?. Proceedings of the 16th Biannual Conference of the Italian SIGCHI Chapter.
Marco Grassia, Giuseppe Mangioni (2024). Edge Dismantling with Geometric Reinforcement Learning. Complex Networks XV.
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Oriol Artime, Marco Grassia, Manlio De Domenico, James P. Gleeson, Hernán A. Makse, Giuseppe Mangioni, Matjaž Perc, Filippo Radicchi (2024). Robustness and resilience of complex networks. Nature Reviews Physics.
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Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2024). Geometric deep learning sub-network extraction for maximum clique enumeration. PLoS ONE.
Juho Lauri, Sourav Dutta, Marco Grassia, Deepak Ajwani (2023). Learning fine-grained search space pruning and heuristics for combinatorial optimization. Journal of Heuristics.
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Marco Grassia, Giuseppe Mangioni (2023). CoreGDM: Geometric Deep Learning Network Decycling and Dismantling. Complex Networks XIV.
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Andrea Arciprete, Vincenza Carchiolo, Daniela Chiavetta, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2022). Geometric Deep Learning Graph Pruning to Speed-Up the Run-Time of Maximum Clique Enumerarion Algorithms. Complex Networks XI.
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Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2022). Network Topology to Predict Bibliometrics Indices: A Case Study. Information Integration and Web Intelligence: 24th International Conference, iiWAS 2022, Virtual Event, November 28–30, 2022, Proceedings.
Vincenza Carchiolo, Christian Cavallo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2022). Link Prediction in Time Varying Social Networks. Information.
Marco Grassia, Giuseppe Mangioni, Stefano Schiavo, Silvio Traverso (2022). Insights into countries’ exposure and vulnerability to food trade shocks from network-based simulations. Sci Rep 12, 4644 (2022).
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Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2022). Efficient Node PageRank Improvement via Link Building using Geometric Deep Learning. ACM TKDD.
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V. Carchiolo, M. Grassia, M. Malgeri, G. Mangioni (2022). Correlation between researchers’ centrality and h-index: a case study. Intelligent Distributed Computing XV.
Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2022). Analysis of the co-authorship sub-networks of Italian academic researchers. Complex Networks & Their Applications X: Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021 10.
Marco Grassia, Giuseppe Mangioni, Stefano Schiavo, Silvio Traverso (2022). (Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic. Journal of Complex Networks, Volume 10, Issue 1, February 2022, cnab045.
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Marco Grassia, Manlio De Domenico, Giuseppe Mangioni (2021). Machine learning dismantling and early-warning signals of disintegration in complex systems. Nat Commun 12, 5190 (2021).
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Marco Grassia, Giuseppe Mangioni (2021). wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction. International Conference on Complex Networks and Their Applications.
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Lucia Cavallaro, Marco Grassia, Giacomo Fiumara, Giuseppe Mangioni, Pasquale De Meo, Vincenza Carchiolo, Ovidiu Bagdasar, Antonio Liotta (2021). Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks. International Conference on Complex Networks and Their Applications.
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni (2021). mGNN: Generalizing the Graph Neural Networks to the Multilayer Case. Submitted to the IEEE Computer Society.
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Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2021). Food Recommendation in a Worksite Canteen.. COMPLEXIS.
Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2021). Analysis of the Co-authorship Sub-networks of Italian Academic Researchers. International Conference on Complex Networks and Their Applications.
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2021). A Network-Based Analysis of a Worksite Canteen Dataset. Big Data and Cognitive Computing.
Vincenza Carchiolo, Marco Grassia,, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2020). Group Cohesion Assessment in Networks. CompleNet 2020.
DOI
Juho Lauri, Sourav Dutta, Marco Grassia, Deepak Ajwani (2020). Learning fine-grained search space pruning and heuristics for combinatorial optimization. arXiv preprint arXiv:2001.01230.
arXiv
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2020). Strategies comparison in link building problem. Intelligent distributed computing XIII.
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2020). A network-based analysis to understand food-habits of a multi-company canteen's customers. Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services.
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2019). A PageRank Inspired Approach to Measure Network Cohesiveness. IDCS2019.
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Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2019). Strategies Comparison in Link Building Problem. IDC2019.
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Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2019). Network robustness improvement via long-range links. CSN.
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Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2019). Long distance connections for ranking and robustness enhancement in networks. CN2018.
Marco Grassia, Juho Lauri, Sourav Dutta, Deepak Ajwani (2019). Learning Multi-Stage Sparsification for Maximum Clique Enumeration. IJCAI-DSO 2019.
arXiv
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2018). Long Distance In-Links for Ranking Enhancement. IDC2018.
DOI
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2018). Exploiting Long Distance Connections to Strengthen Network Robustness. IDCS2018.
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Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2018). Climbing Ranking Position via Long-Distance Backlinks. IDCS2018.
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