Joint structure feature exploration and regularization for multi-task graph classification

Publication Type:
Conference Proceeding
Citation:
2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, 2016, pp. 1474 - 1475
Issue Date:
2016-06-22
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© 2016 IEEE. We formulate a new multi-task graph classification (MTG) problem, where multiple graph classification tasks are jointly regularized to find discriminative subgraphs shared by all tasks for learning. More details can be found in [1].
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