Contextual features online prediction for self-supervised graph representation

Haoran Duan, Cheng Xie, Peng Tang, Beibei Yu

Abstract: Highlights•This paper explores the negative migration problem encountered in unbalanced datasets.•We propose online predict contextual node features, but the not the original data.•The results of graph classification show that the proposed method achieves SOTA results.