49 citations · 144 across the 24 of their papers we have counts for
6 papers · 1 filter
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Antonio Longa, Steve Azzolin, Gabriele Santin +4
Following a fast initial breakthrough in graph based learning, Graph Neural Networks (GNNs) have reached a widespread application in many science and engineering fields, prompting…
Global Explainability of GNNs via Logic Combination of Learned Concepts
Steve Azzolin, Antonio Longa, Pietro Barbiero +2
While instance-level explanation of GNN is a well-studied problem with plenty of approaches being developed, providing a global explanation for the behaviour of a GNN is much less…
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad +2
Predicting the performance of production code prior to actually executing or benchmarking it is known to be highly challenging. In this paper, we propose a predictive model, dubbed…
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets
Anna Nguyen, Antonio Longa, Massimiliano Luca +2
Anticipating audience reaction towards a certain piece of text is integral to several facets of society ranging from politics, research, and commercial industries. Sentiment analys…
Generating fine-grained surrogate temporal networks
Antonio Longa, Giulia Cencetti, Sune Lehmann +2
Temporal networks are essential for modeling and understanding systems whose behavior varies in time, from social interactions to biological systems. Often, however, real-world dat…
Generating Synthetic Mobility Networks with Generative Adversarial Networks
Giovanni Mauro, Massimiliano Luca, Antonio Longa +2
The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the inter…