Justin Carpenter

According to our database, Justin Carpenter authored at least 6 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLM-GMP: Large Language Model-Based Message Passing for Zero-Shot Learning on Graphs.

Justin Carpenter, Md Athikul Islam, Edoardo Serra

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Leveraging Large Language Models for Predicting Cost and Duration in Software Engineering Projects.

Justin Carpenter, Chia-Ying Wu, Nasir U. Eisty

CoRR, 2024

2FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph Partitioning.

Justin Carpenter, Edoardo Serra

Proceedings of the IEEE International Conference on Big Data, 2024

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

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