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

Publication Type:
Conference Proceeding
2016, pp. 1474 - 1475
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
07498381.pdfPublished version348.12 kB
Adobe PDF
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].
Please use this identifier to cite or link to this item: