Graph Machine Learning in Industry workshop live

Our workshop starts in one hour and I'm excited about our speakers and talks that are ahead (something I would like to attend even if I didn't organize it). You can join us on YouTube or Zoom and we encourage you to ask questions.

The topics are:

0. Me (17:00 Paris time): opening remarks
1. James Zhang (AWS) (17:15): Challenges and Thinking in Go-production of GNN + DGL.
2. Charles Tapley Hoyt (Harvard) (17:45): Current Issues in Theory, Reproducibility, and Utility of Graph Machine Learning in the Life Sciences.
3. Anton Tsitsulin (Google) (18:15): Graph Learning for Billion Scale Graphs.
4. Cheng Ye (AstraZeneca) (19:00): Predicting Potential Drug Targets Using Tensor Factorisation and Knowledge Graph Embeddings.
5: Rocío Mercado (MIT) (19:30): Accelerating Molecular Design Using Graph-Based Deep Generative Models.
6. Lingfei Wu (JD.com) (20:00): Deep Learning On Graphs for Natural Language Processing.