1 citations · 1 across the 3 of their papers we have counts for
3 papers
CIP-Net: Continual Interpretable Prototype-based Network
Federico Di Valerio, Michela Proietti, Alessio Ragno +1
Continual learning constrains models to learn new tasks over time without forgetting what they have already learned. A key challenge in this setting is catastrophic forgetting, whe…
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships
Alessio Ragno, Dylan Savoia, Roberto Capobianco
Since the introduction of artificial intelligence in medicinal chemistry, the necessity has emerged to analyse how molecular property variation is modulated by either single atoms…
Molecule Generation from Input-Attributions over Graph Convolutional Networks
Dylan Savoia, Alessio Ragno, Roberto Capobianco
It is well known that Drug Design is often a costly process both in terms of time and economic effort. While good Quantitative Structure-Activity Relationship models (QSAR) can hel…