Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning

no code implementations • 19 Dec 2020 • Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Chengqi Zhang

Multi-graph multi-label learning (\textsc{Mgml}) is a supervised learning framework, which aims to learn a multi-label classifier from a set of labeled bags each containing a number of graphs.

Multi-Label Learning