OGB Large Scale Challenge 2022 Winners

The OGB team has just announced the winners of the annual Large Scale Challenge - the Graphcore team celebrates a double win: top-1 entries in graph regression and link prediction!

Notably, most of the winning top-3 models in all tracks are ensembles. The final results:

Track 1: Node Classification on MAG240M:

1) Baidu - RUniMP and positional encodings
2) Michigan State Uni / TigerGraph - APPNP + relational GAT, 10-model ensemble
3) Beijing Institute of Technology / Zhipu AI / Tsinghua University - MDGNN, 15-model ensemble

Track 2: Link prediction and KG completion on WikiKG90M v2:

1) Graphcore - ensemble of 85 shallow embedding models
2) Microsoft Research Asia - ensemble of 13 shallow models and 10 manual features
3) Tencent - ensemble of 6 models

Track 3: Graph Regression on PCQM4M v2:

1) Graphcore / Mila / Valence Discovery - GPS++ (the improved version of GraphGPS covered in this channel), 112 model ensemble
2) Microsoft Research AI4Science - Transformer-M + ViSNet, 22 model ensemble
2) NVIDIA / UCLA - ensemble of Transformer-M, GNN, and ResNet
MSR and NVIDIA share the joint 2nd place due to reporting exactly the same MAE on the test set.