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An Introduction to Graph Neural Networks

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Machine Learning Courses Deep Learning Courses Neural Networks Courses Semi-supervised Learning Courses Graph Theory Courses Representation Learning Courses

Course Description

Overview

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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

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