An Introduction to Graph Neural Networks
Offered By: Computational Genomics Summer Institute CGSI via YouTube
Course Description
Overview
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.
Syllabus
Ritambhara Singh | An introduction to graph neural networks | CGSI 2024
Taught by
Computational Genomics Summer Institute CGSI
Related Courses
From Graph to Knowledge Graph – Algorithms and ApplicationsMicrosoft via edX Social Network Analysis
Indraprastha Institute of Information Technology Delhi via Swayam Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar
Stanford University via YouTube Unsupervised Brain Models - How Does Deep Learning Inform Neuroscience?
Yannic Kilcher via YouTube Emerging Properties in Self-Supervised Vision Transformers - Facebook AI Research Explained
Yannic Kilcher via YouTube