Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
2016, pp. 1474 - 1475
Issue Date:
2016
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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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