18 citations · 85 across the 30 of their papers we have counts for
3 papers · 1 filter
Modeling Edge Features with Deep Bayesian Graph Networks
Daniele Atzeni, Federico Errica, Davide Bacciu +1
We propose an extension of the Contextual Graph Markov Model, a deep and probabilistic machine learning model for graphs, to model the distribution of edge features. Our approach i…
Graph-based Polyphonic Multitrack Music Generation
Emanuele Cosenza, Andrea Valenti, Davide Bacciu
Graphs can be leveraged to model polyphonic multitrack symbolic music, where notes, chords and entire sections may be linked at different levels of the musical hierarchy by tonal a…
Deep learning for dynamic graphs: models and benchmarks
Alessio Gravina, Davide Bacciu
Recent progress in research on Deep Graph Networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still im…