@inproceedings{14f1b18f6c8d4618a53a9d6926402b16,
title = "Classification with active learning and meta-paths in heterogeneous information networks",
abstract = "A heterogeneous information network (HIN) is used to model objects of different types and their relationships. Meta-paths are sequences of object types. They are used to represent complex relationships between objects beyond what links in a homogeneous network capture. We study the problem of classifying objects in an HIN. We propose class-level meta-paths and study how they can be used to (1) build more accurate classifiers and (2) improve active learning in identifying objects for which training labels should be obtained. We show that class-level meta-paths and object classification exhibit interesting synergy. Our experimental results show that the use of class-level meta-paths results in very effective active learning and good classification performance in HINs.",
keywords = "Active learning, Classification, Heterogeneous information network, Meta-path",
author = "Chang Wan and Xiang Li and Ben Kao and Xiao Yu and Quanquan Gu and David Cheung and Jiawei Han",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 24th ACM International Conference on Information and Knowledge Management, CIKM 2015 ; Conference date: 19-10-2015 Through 23-10-2015",
year = "2015",
month = oct,
day = "17",
doi = "10.1145/2806416.2806507",
language = "英语",
series = "International Conference on Information and Knowledge Management, Proceedings",
publisher = "Association for Computing Machinery",
pages = "443--452",
booktitle = "CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management",
address = "美国",
}