Most real systems consist of a large number of interacting, multi-typed components, while
most contemporary researches model them as homogeneous information networks, without …

Heterogeneous Information Network (HIN) is a natural and general representation of data in
modern large commercial recommender systems which involve heterogeneous types of …

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 …

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 …

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 …