@ARTICLE{7439802, 
author={J. Wu and S. Pan and X. Zhu and C. Zhang and X. Wu}, 
journal={IEEE Transactions on Cybernetics}, 
title={Positive and Unlabeled Multi-Graph Learning}, 
year={2017}, 
volume={47}, 
number={4}, 
pages={818-829}, 
keywords={graph theory;graphs;learning (artificial intelligence);bag of graphs;closed loop iterative process;complicated objects;feature space;graph classification;graph classifiers;informative subgraphs;margin graph pool;optimal subgraphs;positive bags;puMGL framework;reliable negative graph bags;representative graphs;subgraph patterns;unlabeled graph bags;unlabeled multigraph learning;Algorithm design and analysis;Computer science;Cybernetics;Feature extraction;Reliability;Training;Uncertainty;Graph;classification;features;multi-instance (MI);positive and unlabeled (PU) learning;subgraph}, 
doi={10.1109/TCYB.2016.2527239}, 
ISSN={2168-2267}, 
month={April},}