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

Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability. - Jeffrey Fairbanks; Andres Orbe; Christine Patterson; Janet Layne; Edoardo Serra; Marion Scheepers (IEEE BigData, 2021)

The geometrical shapes of violence: predicting and explaining terrorist operations through graph embeddings. - Gian Maria Campedelli; Janet Layne; Jack Herzoff; Edoardo Serra (J. Complex Networks, 2021)

Inferential SIR-GN: Scalable Graph Representation Learning. - Janet Layne; Edoardo Serra (CoRR, 2021)

A Novel Method to Enable Transfer Learning of Structural Graph Representations. - Janet Layne; Edoardo Serra (IEEE Big Data, 2023)

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)

Analyzing Robustness of Automatic Scientific Claim Verification Tools against Adversarial Rephrasing Attacks. - Janet Layne; Qudrat E. Alahy Ratul; Edoardo Serra; Sushil Jajodia (ACM Trans. Intell. Syst. Technol., 2024)

ScaWL: Scaling k-WL (Weisfeiler-Lehman) Algorithms in Memory and Performance on Shared and Distributed-Memory Systems. - Coby Soss; Aravind Sukumaran-Rajam; Janet Layne; Edoardo Serra; Mahantesh Halappanavar; Assefaw H. Gebremedhin (ACM Trans. Archit. Code Optim., 2025)