Deep graph generative models have recently received a surge of attention due to its
superiority of modeling realistic graphs in a variety of domains, including biology, chemistry …

Recommender systems are powerful tools for information filtering with the ever-growing
amount of online data. Despite its success and wide adoption in various web applications …

Driven by the exponential increase of software and the advent of the pull-based
development system Git, a large amount of open-source software has emerged on various …

Open Source Software (OSS) is forming the spines of technology infrastructures, attracting
millions of talents to contribute. Notably, it is challenging and critical to consider both the …

With the broad application of software services, an increasing number of developers are
turning to social coding sites for constructing their applications or conducting further …

This article proposes unsupervised truth-finding algorithms that combine consideration of
multi-modal content features with analysis of propagation patterns to evaluate the veracity of …

Introduction Computable biomedical knowledge artifacts (CBKs) are digital objects
conveying biomedical knowledge in machine‐interpretable structures. As more CBKs are …

This paper develops a novel detection system of possibly fake accounts on public social
media, called FADE, that uses features based on group behaviors to identify suspicious …

Purpose Study on knowledge-based systems for scientific publications is growing very
broadly. However, most of these studies do not explicitly discuss the knowledge …

Matrix Factorization (MF) method is widely popular for personalized recommendations.
However, the natural data sparsity problem limits its performance, where users generally …