An Introduction to Graph Neural Networks

Dive into a comprehensive 24-minute lecture on graph neural networks presented at the Computational Genomics Summer Institute (CGSI) 2024. Explore the fundamental concepts and applications of graph neural networks, drawing insights from key research papers in the field. Gain an understanding of inductive representation learning on large graphs, semi-supervised classification using graph convolutional networks, and the principles behind graph attention networks. Learn how these advanced techniques can be applied to computational genomics and other complex data structures.

Ritambhara Singh | An introduction to graph neural networks | CGSI 2024