Imbalanced Graph Classification via Graph-of-Graph Neural Networks

Published in Proceedings of the 31th ACM International Conference on Information & Knowledge Management, 2022

Recommended citation: In this work, we propose a Graph-of-Graph Neural Networks to imitate the mixup embedding fusion strategy in the topological space for deriving novel supervision and better perform imbalanced graph classification /files/pdf/research/G2GNN.pdf