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Multi-label classification by mining label and instance correlations from heterogeneous information networks.

, , and . KDD, page 614-622. ACM, (2013)

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Collective discovery of brain networks with unknown groups., , and . IJCNN, page 3569-3576. IEEE, (2017)Multi-Objective Multi-Label Classification., , , and . SDM, page 355-366. SIAM / Omnipress, (2012)gMLC: a multi-label feature selection framework for graph classification., and . Knowl. Inf. Syst., 31 (2): 281-305 (2012)Predicting trends in social networks via dynamic activeness model., , and . CIKM, page 1661-1666. ACM, (2013)Multi-label classification by mining label and instance correlations from heterogeneous information networks., , and . KDD, page 614-622. ACM, (2013)Multi-label Ensemble Learning., , , and . ECML/PKDD (3), volume 6913 of Lecture Notes in Computer Science, page 223-239. Springer, (2011)Privacy Preserving Social Network Publication Against Mutual Friend Attacks., , , and . Trans. Data Priv., 7 (2): 71-97 (2014)Graph Classification in Heterogeneous Networks., and . Encyclopedia of Social Network Analysis and Mining. 2nd Ed., Springer, (2018)Learning Node Embeddings in Interaction Graphs., , , and . CIKM, page 397-406. ACM, (2017)EPNet: Learning to Exit with Flexible Multi-Branch Network., , and . CIKM, page 235-244. ACM, (2020)