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AI Bootcamp VIII - Graphs in Machine Learning

Monday, December 2, 2024
9:00am to 5:00pm
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This one week course will equip participants with the tools and knowledge to integrate graph-based machine learning techniques into their research or to explore these concepts further through classes or self-study.

What to Expect:

  • Daily Structure: Each day will feature one to two lectures, complemented by two or more practical, hands-on sessions. We will also have short talks either by participants or other people describing their experience with foundational models

Topics Covered:

  • Introduction to Graphs and Graph Representation Learning
  • Deep Dive into GNN Architectures
  • GNN augmentation and training (practical usage)
  • Link Prediction and Knowledge Graphs
  • Scaling GNNs and Real-world Challenges

Prerequisites

  • Python Programming
  • Machine Learning Basics and experience with ML frameworks such as PyTorch or TensorFlow
  • Graph Theory Basics
  • Linear Algebra
  • Multivariable Calculus
  • Probability Theory

How to Join the Bootcamp:

  • Availability: Limited to 20 participants.
  • Registration: Sign up using this link and complete the pre-screening Python Programming Quiz by 11:59 PM Pacific Time on November 28th. Please note that your enrollment will not be finalized until you have taken the quiz and received a confirmation email from the bootcamp organizers.
  • Optional (but highly recommended): Email us about yourself and your research, and let us know how you think this bootcamp can support your work.

    Note: This bootcamp is open to Graduate Students, Post Docs, and Faculty

Contact:

● Bootcamp director: Reza Sadri

● Administrative assistant: Caroline Murphy

● TAs and Instructors: Sahithi Ankireddy, Surya Narayanan Hari, Panteleimon Vafeidis, Manal Sultan, Gary Yang, Thierno Diallo, Alejandro Stefan Zavala, Jay Siri, Sibo Ma, Yuning You

For more information, please contact Reza Sadri, Director by email at [email protected] or visit https://aibootcamp.caltech.edu.