3 papers
cs.LG2023
Meta-Path Learning for Multi-relational Graph Neural Networks
Francesco Ferrini, Antonio Longa, Andrea Passerini +1
Existing multi-relational graph neural networks use one of two strategies for identifying informative relations: either they reduce this problem to low-level weight learning, or th…
cs.SE2022
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…
cs.AI2022
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…