Network-SVM: Support Vector Machine for Network Data

October 19, 2016
2:00 pm - 5:30 pm
Hall C

Track: ACM SRC
Type: Posters
Level: All

Many real-world applications produce data with relational information represented as networks. In such applications, one problem of interest is the classification of samples in this network. We propose a novel SVM designed for classifying network data, Network-SVM which takes into account both the features describing each sample and the full network structure among samples.


, PhD student-Research Assistant, Northeastern University