Post #462

Large-scale graph machine learning challenge (OGB-LSC) at KDD Cup 2021 OGB-LSC is a collection of three graph datasets—PCQM4M-LSC, WikiKG90M-LSC, and MAG240M-LSC—that are orders of magnitude larger than existing ones. The three datasets correspond to link prediction, graph regression, and node classification tasks, respectively. The goal of OGB-LSC is to empower the community to discover innovative solutions for large-scale graph ML. The competition will be from March 15th, 2021 until June 8th, 2021 and the winners will be notified by mid-June 2021. The winners will be honored at the KDD 2021 opening ceremony and will present their solutions at the KDD Cup workshop during the conference. The graphs are indeed big, with the largest size 168 GB, and it's interesting what approaches can be used to solve these problems.