Presentation & Discussion: “Learning from Links – Advances in Graph Neural Networks and Why They Matter”

​Join us for an insightful session with Dr. Santiago Segarra, W. M. Rice Trustee Associate Professor in Electrical and Computer Engineering at Rice University and Co-founder & CTO of Aqmen AI, as he explores the fascinating world of Graph Neural Networks (GNNs) — one of the most exciting frontiers in machine learning.

​Graphs capture relationships — between molecules, people, sensors, or systems — and GNNs are transforming how we learn from these connections. In this talk, Dr. Segarra will demystify the core ideas behind GNNs, show how they differ from traditional neural networks, and share real-world applications spanning wireless communications, metagenomics, and beyond.

​What you’ll gain:

​·       An intuitive understanding of how GNNs work

​·       When and why to use graph-based learning approaches

​·       A glimpse into cutting-edge research and practical impact

​Event: Learning from Links: Advances in Graph Neural Networks and Why They Matter
Speaker: Dr. Santiago Segarra, Rice University / Aqmen AI
Location: The Ion (4201 Main Street]
Date & Time: Monday Nov. 17; 5:0-6:30PM