YoVDO

Towards Foundation Models for Graphs

Offered By: Simons Institute via YouTube

Tags

Graph Theory Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Graph Algorithms Courses Network Analysis Courses Foundation Models Courses Geometric Deep Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the cutting-edge research on foundation models for graphs in this insightful lecture by Michael Brontstein from Oxford University. Delve into the potential applications and challenges of developing large-scale pre-trained models for graph-structured data, drawing parallels with the success of foundation models in natural language processing and computer vision. Gain a deeper understanding of how these models could revolutionize various fields, including social network analysis, molecular biology, and recommendation systems. Learn about the latest advancements in graph neural networks and their role in building more powerful and versatile graph-based AI systems. Discover the implications of this research for decoding communication in nonhuman species, as part of the "Decoding Communication in Nonhuman Species III" series co-hosted with Project CETI.

Syllabus

Towards Foundation Models for Graphs


Taught by

Simons Institute

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent