Doctoral Speaking Skills Talk - Meng-Chieh Lee March 14, 2025 10:00am — 11:00am Location: In Person - Reddy Conference Room, Gates Hillman 4405 Speaker: MENG-CHIEH LEE, Ph.D. Student, Computer Science Department, Carnegie Mellon University https://mengchillee.github.io/ How can we solve semi-supervised node classification in various graphs possibly with noisy features and structures? Graph neural networks (GNNs) have succeeded in many graph mining tasks, but their generalizability to various graph scenarios is limited due to the difficulty of training, hyperparameter tuning, and the selection of a model itself. In this talk, I will present a carefully-designed simple model SlimG for solving semi-supervised node classification. It exhibits the following desirable properties: accurate, robust, fast, scalable, and interpretable. Presented in Partial Fulfillment of the CSD Speaking Skills Requirement Add event to Google Add event to iCal
