6 papers
Statistical Model Checking of the Keynes+Schumpeter Model: A Transient Sensitivity Analysis of a Macroeconomic ABM
Stefano Blando, Giorgio Fagiolo, Mauro Napoletano +2
Agent-based models (ABMs) are increasingly used in macroeconomics, but their analysis still often relies on ad hoc Monte Carlo campaigns with heterogeneous statistical effort acros…
RAwR: Role-Aware Rewiring via Approximate Equitable Partition
Riccardo Porcedda, Giuseppe Squillace, Bastian Epping +4
While Graph Neural Networks (GNNs) have demonstrated significant efficacy in node classification tasks, where predictions rely on local neighborhood information, the performance of…
GravityGraphSAGE: Link Prediction in Directed Attributed Graphs
Riccardo Porcedda, Francesca Chiaromonte, Fabrizio Lillo +1
Link prediction (inferring missing or future connections between nodes in a graph) is a fundamental problem in network science with widespread applications in, e.g., biological sys…
Large Language Models, Encoder Architectures and Hybrid Approaches for Patent Classification
Lorenzo Emer, Marco Lippi, Andrea Mina +1
Automated patent classification is essential for organizing technological knowledge and constructing indicators of technological change, specialization, and leadership. To identify…
The hidden structure of innovation networks
Lorenzo Emer, Anna Gallo, Mattia Marzi +3
Innovation emerges from complex collaboration patterns - among inventors, firms, or institutions. However, not much is known about the overall mesoscopic structure around which inv…
The anatomy of Green AI technologies: structure, evolution, and impact
Lorenzo Emer, Andrea Mina, Andrea Vandin
Artificial intelligence (AI) is a key enabler of innovation against climate change. In this study, we investigate the intersection of AI and climate adaptation and mitigation techn…