1 citations · 1 across the 1 of their papers we have counts for
2 papers
q-bio.QM2026
GraphTFactor: A graph-based approach for proteins transcription factor prediction
Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco +2
Transcription factors (TFs) play an important role in regulating gene expression, making their identification a fundamental task in computational biology. In this work, we propose…
cs.LG2024★ 1 cited
The GECo algorithm for Graph Neural Networks Explanation
Salvatore Calderaro, Domenico Amato, Giosuè Lo Bosco +2
Graph Neural Networks (GNNs) are powerful models that can manage complex data sources and their interconnection links. One of GNNs' main drawbacks is their lack of interpretability…