Geometric Deep Learning: A Temperature-Based Analysis of Graph Neural Networks
Offered By: Conference GSI via YouTube
Course Description
Overview
Explore a temperature-based analysis of graph neural networks in this 16-minute conference talk from GSI. Delve into the fascinating world of Geometric Deep Learning and gain insights into how temperature affects the performance and behavior of graph neural networks. Discover new perspectives on this cutting-edge field and enhance your understanding of advanced machine learning techniques applied to graph-structured data.
Syllabus
Geometric Deep Learning: a temperature based analysis of graph neural networks
Taught by
Conference GSI
Related Courses
An Introduction to Computer NetworksStanford University via Independent Introduction to Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera Network Analysis in Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera Networks, Crowds and Markets
Cornell University via edX Networking Leadership 101: Building Your Core Professional Network
Center for Creative Leadership via Acumen Academy