graph machine learning

Towards Structured Intelligence with Deep Graph Neural Networks

Guohao Li, Ph.D. Student, Computer Science

Oct 5, 18:00 - 20:00

B5 L5 R5209

graph machine learning Graph Neural Networks

This dissertation discusses approaches to building large-scale and efficient graph machine learning models for learning structured representation with applications to engineering and sciences. This work would present how to make Graph Neural Networks (GNNs) go deep by introducing architectural designs and how to automatically search GNN architectures by novel neural architecture search algorithms.