Marco Grassia

31 papers B 1C 5Misc 4Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning.
CoRR
Salvatore Romano, Marco Grassia, Giuseppe Mangioni
2025 C conf
Graph-Based Evaluation of Visual Brain Decoding from fMRI Data.
ISM
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
2025 — conf
How Well is Human Attention Preserved in fMRI-Based VisualBrain Decoding?
CHItaly
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
2025 C conf
Machine Learning Supernovae's Progenitor Characterization.
PDP
Marco Grassia, Stefano Pio Cosentino, Maria Letizia Pumo, Giuseppe Mangioni
2025 — conf
Saliency Matters: From Nodes to Objects.
GbRPR
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
2025 B conf
What is Wrong with Visual Brain Decoding? A Saliency-based Investigation.
IJCNN
Mohammad Moradi, Morteza Moradi, Marco Grassia, Giuseppe Mangioni
2023 J jnl
Efficient Node PageRank Improvement via Link-building using Geometric Deep Learning.
ACM Trans. Knowl. Discov. Data
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2023 J jnl
Learning fine-grained search space pruning and heuristics for combinatorial optimization.
J. Heuristics
Juho Lauri, Sourav Dutta, Marco Grassia, Deepak Ajwani
2022 J jnl
Co-Authorship Networks Analysis to Discover Collaboration Patterns among Italian Researchers.
Future Internet
Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni
2022 Misc conf
Correlation Between Researchers' Centrality and H-Index: A Case Study.
IDC
Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni
2022 — conf
Geometric Deep Learning Graph Pruning to Speed-Up the Run-Time of Maximum Clique Enumerarion Algorithms.
COMPLEX NETWORKS (1)
A. Arciprete, Vincenza Carchiolo, D. Chiavetta, Marco Grassia, Michele Malgeri, Giuseppe Mangioni
2022 J jnl
Link Prediction in Time Varying Social Networks.
Inf.
Vincenza Carchiolo, Christian Cavallo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni
2022 C conf
Network Topology to Predict Bibliometrics Indices: A Case Study.
iiWAS
Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni
2021 J jnl
(Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic.
J. Complex Networks
Marco Grassia, Giuseppe Mangioni, Stefano Schiavo, Silvio Traverso
2021 J jnl
A Network-Based Analysis of a Worksite Canteen Dataset.
Big Data Cogn. Comput.
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2021 — conf
Analysis of the Co-authorship Sub-networks of Italian Academic Researchers.
COMPLEX NETWORKS
Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni
2021 C conf
Food Recommendation in a Worksite Canteen.
COMPLEXIS
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2021 J jnl
Machine learning dismantling and early-warning signals of disintegration in complex systems.
CoRR
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
2021 Misc conf
Preliminary Characterization of Italian Academic Scholars by Their Bibliometrics.
IDC
Vincenza Carchiolo, Marco Grassia, Michele Malgeri, Giuseppe Mangioni
2021 — conf
Relations Between Entropy and Accuracy Trends in Complex Artificial Neural Networks.
COMPLEX NETWORKS
Lucia Cavallaro, Marco Grassia, Giacomo Fiumara, Giuseppe Mangioni, Pasquale De Meo, Vincenza Carchiolo, Ovidiu Bagdasar, Antonio Liotta
2021 J jnl
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case.
CoRR
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
2021 — conf
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction.
COMPLEX NETWORKS
Marco Grassia, Giuseppe Mangioni
2021 J jnl
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction.
CoRR
Marco Grassia, Giuseppe Mangioni
2020 C conf
A network-based analysis to understand food-habits of a multi-company canteen's customers.
iiWAS
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2020 J jnl
Learning fine-grained search space pruning and heuristics for combinatorial optimization.
CoRR
Juho Lauri, Sourav Dutta, Marco Grassia, Deepak Ajwani
2019 — conf
A PageRank Inspired Approach to Measure Network Cohesiveness.
IDCS
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2019 J jnl
Learning Multi-Stage Sparsification for Maximum Clique Enumeration.
CoRR
Marco Grassia, Juho Lauri, Sourav Dutta, Deepak Ajwani
2019 Misc conf
Strategies Comparison in Link Building Problem.
IDC
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2018 — conf
Climbing Ranking Position via Long-Distance Backlinks.
IDCS
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2018 — conf
Exploiting Long Distance Connections to Strengthen Network Robustness.
IDCS
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni
2018 Misc conf
Long Distance In-Links for Ranking Enhancement.
IDC
Vincenza Carchiolo, Marco Grassia, Alessandro Longheu, Michele Malgeri, Giuseppe Mangioni