deepmind-research/ogb_lsc

DeepMind entry for OGB-LSC

This repository contains DeepMind's entry to the PCQM4M-LSC (quantum chemistry) and MAG240M-LSC (academic graph) tracks of the OGB Large-Scale Challenge (OGB-LSC).

For full details regarding this entry, please see our technical report.

Code structure

• pcq/: Scripts for training, evaluating on the PCQ dataset.
• mag/: Scripts for training, evaluating on the MAG dataset.

Citation

To cite this work:

@article{deepmind2021ogb,
  author = {Ravichandra Addanki and Peter Battaglia and David Budden and Andreea
    Deac and Jonathan Godwin and Thomas Keck and Wai Lok Sibon Li and Alvaro
    Sanchez-Gonzalez and Jacklynn Stott and Shantanu Thakoor and Petar
    Veli\v{c}kovi\'{c}},
  title = {Large-scale graph representation learning with very deep GNNs and
    self-supervision},
  year = {2021},
  journal={arXiv preprint arXiv:2107.09422},
}