Abstract
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].
Original language | English |
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Title of host publication | ICDE 2016 |
Subtitle of host publication | Proceedings of the 2016 IEEE 32nd International Conference on Data Engineering |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 1474-1475 |
Number of pages | 2 |
ISBN (Electronic) | 9781509020201 |
DOIs | |
Publication status | Published - 22 Jun 2016 |
Externally published | Yes |
Event | 32nd IEEE International Conference on Data Engineering, ICDE 2016 - Helsinki, Finland Duration: 16 May 2016 → 20 May 2016 |
Conference
Conference | 32nd IEEE International Conference on Data Engineering, ICDE 2016 |
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Country/Territory | Finland |
City | Helsinki |
Period | 16/05/16 → 20/05/16 |