Heterogeneous Information Network (HIN) is a natural and general representation of data in modern large commercial recommender systems which involve heterogeneous types of …
S Hou, Y Ye, Y Song, M Abdulhayoglu - Proceedings of the 23rd ACM …, 2017 - dl.acm.org
With explosive growth of Android malware and due to the severity of its damages to smart phone users, the detection of Android malware has become increasingly important in …
In this paper, we develop a novel approach to aspect term extraction based on unsupervised learning of distributed representations of words and dependency paths. The basic idea is to …
Social networks, such as Twitter, form a heterogeneous information network (HIN) where nodes represent domain entities (eg, user, content, advertiser, etc.) and edges represent …
J Feng, M Huang, Y Yang, X Zhu - Proceedings of COLING 2016 …, 2016 - aclanthology.org
Abstract Knowledge embedding, which projects triples in a given knowledge base to d- dimensional vectors, has attracted considerable research efforts recently. Most existing …
Text classification is an important problem with many applications. Traditional approaches represent text as a bag-of-words and build classifiers based on this representation. Rather …
X Jian, Y Wang, L Chen - Proceedings of the VLDB Endowment, 2020 - dl.acm.org
Community search in heterogeneous information networks (HINs) has attracted much attention in graph analysis. Given a vertex, the goal is to find a densely-connected sub …
The interacting and multi-typed components in the real-world environment constitute interconnected networks, which can be called information networks. These ubiquitous …
Most real-world information networks, such as social networks, are heterogeneous and as such, relationships in these networks can be of different types and hence carry differing …