Detecting Botnet Nodes via Structural Node Representation Learning. - Justin Carpenter; Janet Layne; Edoardo Serra; Alfredo Cuzzocrea (IEEE BigData, 2021)

Structural Node Representation Learning for Detecting Botnet Nodes. - Justin Carpenter; Janet Layne; Edoardo Serra; Alfredo Cuzzocrea; Carmine Gallo (ICCSA (1), 2023)

Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs. - Janet Layne; Justin Carpenter; Edoardo Serra; Francesco Gullo (Proc. VLDB Endow., 2023)

2FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph Partitioning. - Justin Carpenter; Edoardo Serra (IEEE Big Data, 2024)

Leveraging Large Language Models for Predicting Cost and Duration in Software Engineering Projects. - Justin Carpenter; Chia-Ying Wu; Nasir U. Eisty (CoRR, 2024)