Due to the ever-increasing number of Android applications and constant advances in
software development techniques, there is a need for scalable and flexible malware …

Social platforms have paved the way in creating new, modern ways for users to
communicate with each other. In recent years, multiple platforms have introduced''Stories'' …

Rapid and massive adoption of mobile/online payment services has brought new
challenges to the service providers as well as regulators in safeguarding the proper uses …

Analysis of social support in online forums for people living with HIV has been relying, for the
most part, on self-report instrumentation and manual coding of data. Our study applies a fully …

Graph representation learning is a fast-growing field where one of the main objectives is to
generate meaningful representations of graphs in lower-dimensional spaces. The learned …

Network embedding models aim to learn low-dimensional representations for nodes and/or
edges in graphs. For social networks, learning edge representations is especially beneficial …

Anomaly detection is facing with emerging challenges in many important industry domains,
such as cyber security and online recommendation and advertising. The recent trend in …

Estimating the Ratio of Edge-Users (REU) is an important issue in mobile networks, as it
helps the subsequent adjustment of loads in different cells. However, existing approaches …

Personalized community detection aims to generate communities associated with user need
on graphs, which benefits many downstream tasks such as node recommendation and link …

As the size and scope of online data continues to grow, new machine learning techniques
become necessary to best capitalize on the wealth of available information. However, the …