Trainees will learn about emerging techniques to generalize structured deep neural networks to non-Euclidean domains (geometric deep learning), including: graph neural networks, graph attention networks, message passing networks and graph-to-graph transfer. They will also learn how to use NVIDIA TensorRT to optimize AI models for accelerated inference
Day and Time: February 17, 3-5 p.m. US CT
This session is a part of the ALCF AI for Science Training Series.