OGB Large-Scale Challenge Workshop - Presentations of the Winners

OGB LSC is a KDD'21 challenge organized by the OGB team and known for the largest-to-date benchmarking datasets in node-level (240M nodes / 1.7B edges), link-level (90M nodes, 500M edges), and graph-level (4M molecules) tasks. Surely, not all academic labs can afford such compute, but the more interesting are the approaches taken by the winners! Are there any smart tricks or merely "more layers - more ensembles - GPUs go brrr"?

Finally, the recordings of the LSC workshop are available! (~3 hours long, so the Graph ML channel editors assume you've already successfully digested the ML Street Talk for breakfast)

The 2nd day of the workshop features (videos are available):

- Invited talks by Viktor Prasanna (USC), Marinka Zitnik (Harvard), and Larry Zitnick (Facebook AI)
- Panel discussion on the future of Graph ML with Yizhou Sun (UCLA), Zheng Zhang (NYU / Amazon), Shuiwang Ji (Texas A&M), and Jian Tang (MILA)