CySER Virtual Seminar — Structural Graph representation learning for National Security Applications and Beyond
About the event
Title: Structural Graph Representation Learning for National Security Applications and Beyond
Speaker: Edoardo Serra, PhD
Abstract: Graph representation learning methods have attracted an increasing amount of attention in recent years. These methods focus on learning a numerical representation of the nodes and edges in a graph. Graph representation learning methods can be divided into two main categories, methods preserving the connectivity information of the nodes and methods preserving nodes’ structural information. Connectivity-based methods focus on encoding relationships between nodes, with connected nodes being closer together in the resulting latent space. While there are a lot of works that focus on preserving node connectivity, only a few works focus on preserving nodes’ structure. Properly encoding nodes’ structural information is fundamental for many real-world applications as it has been demonstrated that this information can be leveraged to successfully solve many tasks where connectivity-based methods usually fail. A typical example is node classification. Structural representations are essential to learning general patterns in graphs and solving many classification tasks. This talk will discuss the importance of structural graph representation learning methods, also considering temporal graphs, and their applications in national security and beyond.
Speaker Bio: Edoardo Serra is an Associate Professor in the computer science department at Boise State University and senior Researcher (Joint Appointment) at Pacific Northwest National Laboratory (PNNL). He received his Ph.D. degree in Computer Science Engineering from the University of Calabria, Italy, in 2012. His research interests focus on Graph Representation Learning, Unsupervised Neural Networks, Machine Learning Interpretability and Robustness, and ML/AI applications for National Security.
Learn more about CySER: cyser.wsu.edu/