Post #732

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.