Janet Layne

According to our database, Janet Layne authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

Structural Node Representation Learning for Detecting Botnet Nodes.

Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea, Carmine Gallo

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

A Novel Method to Enable Transfer Learning of Structural Graph Representations.

Janet Layne, Edoardo Serra

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Inferential SIR-GN: Scalable Graph Representation Learning.

Janet Layne, Edoardo Serra

CoRR, 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

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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Detecting Botnet Nodes via Structural Node Representation Learning.

Justin Carpenter, Janet Layne, Edoardo Serra, Alfredo Cuzzocrea

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021