Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …

The competent software architecture plays a crucial role in the difficult task of big data
processing for SQL and NoSQL databases. SQL databases were created to organize data …

With the widespread popularization of social network platforms, user-generated content and
other social network data are growing rapidly. It is difficult for social users to select interested …

Social Networks' omnipresence and ease of use has revolutionized the generation and
distribution of information in today's world. However, easy access to information does not …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

Link prediction is a paradigmatic problem in network science, which aims at estimating the
existence likelihoods of nonobserved links, based on known topology. After a brief …

Anomaly detection is one of the most active research areas in various critical domains, such
as healthcare, fintech, and public security. However, little attention has been paid to …

Social science concerns issues on individuals, relationships, and the whole society. The
complexity of research topics in social science makes it the amalgamation of multiple …

Networks are a general language for describing complex systems of interacting entities. In
the real world, a network always contains massive nodes, edges and additional complex …

Software vulnerabilities, also known as flaws, bugs or weaknesses, are common in modern
information systems, putting critical data of organizations and individuals at cyber risk. Due …