Boost then Convolve: Gradient Boosting Meets Graph Neural Networks

Sergei Ivanov, Liudmila Prokhorenkova

Graph neural networks (GNNs) are powerful models that have been successful in various graph representation learning tasks. Whereas gradient boosted decision trees (GBDT) often outp…