Publications

Manlio De Domenico, Valeria d’Andrea, Marco Grassia, Giuseppe Mangioni, Barbara Di Camillo (2026). A digital twin should make a risky claim. Nature Physics.

Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2026). Graph-Based Analysis of Attentional Fidelity in Brain-To-Image Reconstruction. 2026 IEEE International Conference on Image Processing (ICIP).

Marco Grassia, Stefano Pio Cosentino, Giuseppe Mangioni, Maria Letizia Pumo (2026). Unveiling core-collapse supernova progenitors: characterization and physical insights through explainable artificial intelligence. Scientific Reports.

Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2026). Brain-Grasp: Graph-Based Saliency Priors for Improved FMRI-Based Visual Brain Decoding. ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Marco Grassia, Valeria d’Andrea, Karolina Finc, Manlio De Domenico, Giuseppe Mangioni (2026). Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease. SciRep.

Wageesha Widuranga, Davide Rigoni, Fabio Bove, Dario Righelli, Salvatore Romano, Rosa Visone, Marilena V. Iorio, Marco Grassia, Giuseppe Mangioni, Pietro Liò, Cristian Taccioli (2026). LLMsFold: Integrating Large Language Models and Biophysical Simulations for De Novo Drug Design.

Arsham Ghavasieh, Marco Grassia, Manlio De Domenico (2026). Influence of the reinsertion algorithm on the performance of the Vertex Entanglement method. Communications Physics.

Salvatore Romano, Marco Grassia, Giuseppe Mangioni (2026). Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning.

Thomas Adler, Marco Grassia, Ziheng Liao, Giuseppe Mangioni, Carlo Vittorio Cannistraci (2026). Latent Geometry-Driven Network Automata for Complex Network Dismantling. ICLR 2026.

Salvatore Romano, Marco Grassia, Pietro Liò, Giuseppe Mangioni (2026). ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation.

Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2025). Graph-Based Evaluation of Visual Brain Decoding from fMRI Data. 2025 International Symposium on Multimedia (ISM).

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.

Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2025). What is Wrong with Visual Brain Decoding? A Saliency-based Investigation. 2025 International Joint Conference on Neural Networks (IJCNN).

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).

Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni (2025). Saliency Matters: From Nodes to Objects. Graph-Based Representations in Pattern Recognition.

Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2024). Geometric Deep Learning sub-network extraction for Maximum Clique Enumeration. PLOS ONE.

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.

Marco Grassia, Giuseppe Mangioni (2024). Edge Dismantling with Geometric Reinforcement Learning. Complex Networks XV.

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

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

Marco Grassia, Giuseppe Mangioni (2023). CoreGDM: Geometric Deep Learning Network Decycling and Dismantling. Complex Networks XIV.

V. Carchiolo, Marco Grassia, M. Malgeri, G. Mangioni (2023). Correlation Between Researchers’ Centrality and H-Index: A Case Study. Intelligent Distributed Computing XV.

Andrea Arciprete, Vincenza Carchiolo, Daniela Chiavetta, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2023). Geometric Deep Learning Graph Pruning to Speed-Up the Run-Time of Maximum Clique Enumerarion Algorithms. Complex Networks XI.

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

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).

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

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.

Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2022). Network Topology to Predict Bibliometrics Indices: A Case Study. Information Integration and Web Intelligence.

Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni (2022). Preliminary Characterization of Italian Academic Scholars by Their Bibliometrics. Intelligent Distributed Computing XIV.

Lucia Cavallaro, Marco Grassia, Giacomo Fiumara, Giuseppe Mangioni, Pasquale De Meo, Vincenza Carchiolo, Ovidiu Bagdasar, Antonio Liotta (2022). Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks. Complex Networks & Their Applications X.

Marco Grassia, Giuseppe Mangioni (2022). wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction. International Conference on Complex Networks and Their Applications.

Marco Grassia, Giuseppe Mangioni, Stefano Schiavo, Silvio Traverso (2021). (Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic. Journal of Complex Networks, Volume 10, Issue 1, February 2022, cnab045.

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).

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 (2021). Food Recommendation in a Worksite Canteen. Proceedings of the 6th International Conference on Complexity, Future Information Systems and Risk.

Marco Grassia, Manlio De Domenico, Giuseppe Mangioni (2021). mGNN: Generalizing the Graph Neural Networks to the Multilayer Case. Submitted to the IEEE Computer Society.

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 (2020). Group Cohesion Assessment in Networks. CompleNet 2020.

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2020). Strategies Comparison in Link Building Problem. IDC2019.

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2019). Network robustness improvement via long-range links. CSN.

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2019). A PageRank Inspired Approach to Measure Network Cohesiveness. IDCS2019.

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

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2019). Long distance connections for ranking and robustness enhancement in networks. CN2018.

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2018). Climbing Ranking Position via Long-Distance Backlinks. IDCS2018.

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2018). Exploiting Long Distance Connections to Strengthen Network Robustness. IDCS2018.

Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni (2018). Long Distance In-Links for Ranking Enhancement. IDC2018.