49 citations · 144 across the 24 of their papers we have counts for
3 papers · 1 filter
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…
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction
Peter Samoaa, Linus Aronsson, Antonio Longa +2
Most machine learning and data analytics applications, including performance engineering in software systems, require a large number of annotations and labelled data, which might n…
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Antonio Longa, Veronica Lachi, Gabriele Santin +5
Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static) graph-structured data. However, many real-world systems are dynamic in nature, since the grap…