Self-Supervised Graph Transformer on Large-Scale Molecular Data
Published in
Neural Information Processing Systems(2020)External Links:
TL
TL;DR
A novel framework, GROVER, which stands for Graph Representation frOm self-supervised mEssage passing tRansformer, which allows it to be trained efficiently on large-scale molecular dataset without requiring any supervision, thus being immunized to the two issues mentioned above.