Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

In the social image sharing websites (such as Flickr), users are allowed to upload images
and tag them with tags. Due to the diversities of users' interests, different users may tag the …

There are many approaches available for extracting clusters. A few are based on the
partitioning of the data and others rely on extracting hierarchical structures. Graphs provide …

Bayesian (machine) learning has been playing a significant role in machine learning for a
long time due to its particular ability to embrace uncertainty, encode prior knowledge, and …

Matching two different sets of items, called heterogeneous set-to-set matching problem, has
recently received attention as a promising problem. The difficulties are to extract features to …

We propose topic models for unsupervised cluster matching, which is the task of finding
matching between clusters in different domains without correspondence information. For …

Data integration has become one of the main challenges in the era of Big Data analytics.
Often to enable decision-making, data from different sources have to be integrated and …

Although existing variational graph autoencoders (VGAEs) have been widely used for
modeling and generating graph-structured data, most of them are still not flexible enough to …

Internet has become an important information platform, and it is very important to accurately
understand the multimedia information of the Internet. In this paper, our main task is to do …