642 citations · 823 across the 9 of their papers we have counts for
10 papers
ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation
Salvatore Romano, Marco Grassia, Pietro Liò +1
Discrete diffusion models are a prominent family for graph generation, but standard class-conditional mechanisms embed the class signal in the denoiser during training, tying the c…
Brain-Grasp: Graph-based Saliency Priors for Improved fMRI-based Visual Brain Decoding
Mohammad Moradi, Morteza Moradi, Marco Grassia +1
Recent progress in brain-guided image generation has improved the quality of fMRI-based reconstructions; however, fundamental challenges remain in preserving object-level structure…
Beyond MMD: Evaluating Graph Generative Models with Geometric Deep Learning
Salvatore Romano, Marco Grassia, Giuseppe Mangioni
Graph generation is a crucial task in many fields, including network science and bioinformatics, as it enables the creation of synthetic graphs that mimic the properties of real-wo…
Robustness and resilience of complex networks
Oriol Artime, Marco Grassia, Manlio De Domenico +5
Complex networks are ubiquitous: a cell, the human brain, a group of people and the Internet are all examples of interconnected many-body systems characterized by macroscopic prope…
mGNN: Generalizing the Graph Neural Networks to the Multilayer Case
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
Networks are a powerful tool to model complex systems, and the definition of many Graph Neural Networks (GNN), Deep Learning algorithms that can handle networks, has opened a new w…
wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction
Marco Grassia, Giuseppe Mangioni
Graph Neural Networks (GNNs) have been widely used to learn representations on graphs and tackle many real-world problems from a wide range of domains. In this paper we propose wsG…
Machine learning dismantling and early-warning signals of disintegration in complex systems
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
From physics to engineering, biology and social science, natural and artificial systems are characterized by interconnected topologies whose features - e.g., heterogeneous connecti…
(Unintended) Consequences of export restrictions on medical goods during the Covid-19 pandemic
Marco Grassia, Giuseppe Mangioni, Stefano Schiavo +1
In the first half of 2020, several countries have responded to the challenges posed by the Covid-19 pandemic by restricting their export of medical supplies. Such measures are mean…
Learning fine-grained search space pruning and heuristics for combinatorial optimization
Juho Lauri, Sourav Dutta, Marco Grassia +1
Combinatorial optimization problems arise in a wide range of applications from diverse domains. Many of these problems are NP-hard and designing efficient heuristics for them requi…
Learning Multi-Stage Sparsification for Maximum Clique Enumeration
Marco Grassia, Juho Lauri, Sourav Dutta +1
We propose a multi-stage learning approach for pruning the search space of maximum clique enumeration, a fundamental computationally difficult problem arising in various network an…