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Introduction to Graph Neural Networks and Their Application in Drug Discovery

Offered By: Toronto Machine Learning Series (TMLS) via YouTube

Tags

Artificial Intelligence Courses Bioinformatics Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses Drug Discovery Courses Computational Chemistry Courses Cheminformatics Courses

Course Description

Overview

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Dive into the world of Graph Neural Networks (GNNs) and explore their groundbreaking applications in drug discovery during this comprehensive 3-hour workshop. Learn the fundamental concepts of GNNs, understand their architecture, and discover how these powerful models are revolutionizing the pharmaceutical industry. Explore real-world case studies that demonstrate the potential of GNNs in predicting molecular properties, identifying drug-target interactions, and accelerating the drug development process. Gain hands-on experience with practical examples and implementation techniques, equipping yourself with the knowledge to leverage GNNs in your own research or projects. Whether you're a data scientist, researcher, or pharmaceutical professional, this workshop will provide valuable insights into the cutting-edge intersection of machine learning and drug discovery.

Syllabus

Workshop: Introduction to Graph Neural Network and Its Application in Drug Discovery


Taught by

Toronto Machine Learning Series (TMLS)

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