Molecular Machine Learning at Scale - Lessons from the OGB Large Scale Challenge

Explore key insights from the OGB Large Scale Challenge at NeurIPS 2022 in this 21-minute conference talk on molecular machine learning. Discover why message passing remains promising for molecular ML, understand the critical role of speed in achieving success, and learn about IPU acceleration for democratizing computational power. Examine the importance of larger datasets in advancing the field. Gain valuable lessons from Dominic Masters of Graphcore as he shares experiences and findings from the challenge, offering a comprehensive overview of current trends and future directions in large-scale molecular machine learning.

- Intro
- OGB Large Scale Challenge: NeurIPS 2022
- Lesson 1: Message Passing Remains Promising for Molecular ML
- Lesson 2: Speed is Key to Success
- IPU Acceleration: Democratizing Speed
- Lesson 3: Datasets Need to be Much Larger