Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision

Alexander Panyshev, Dmitry Vinichenko, Oleg Travkin +2

Temporal graph networks suffer from irregular supervision in realworld dynamic graphs, as most minibatches contain few labeled events. The lack of labels leads to high-variance gra…