Supervised Learning

Boosting for graph classification with universum
Recent years have witnessed extensive studies of graph classification due to the rapid increase in applications involving structural …
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Task sensitive feature exploration and learning for multitask graph classification
Multitask learning (MTL) is commonly used for jointly optimizing multiple learning tasks. To date, all existing MTL methods have been …
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Joint structure feature exploration and regularization for multi-task graph classification
Graph classification aims to learn models to classify structure data. To date, all existing graph classification methods are designed …
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