As a key component of the information sensing and aggregating for big data, cloud
computing, and Internet of Things (IoT), the information security in wireless sensor network …

With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …

As one of the cyber–physical–social systems that plays a key role in people's daily activities,
a smart city is producing a considerable amount of industrial data associated with …

The ever-increasing popularity of recommendation systems allows users to find appropriate
services without excessive effort. However, due to the unstable and complex network …

Among existing knowledge graph based question answering (KGQA) methods, relation
supervision methods require labeled intermediate relations for stepwise reasoning. To avoid …

Personalized decision-making can be implemented in a Federated learning (FL) framework
that can collaboratively train a decision model by extracting knowledge across intelligent …

Depression has become a big problem in our society today. It is also a major reason for
suicide, especially among teenagers. In the current outbreak of coronavirus disease (COVID …

Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …

With the ever-increasing prosperity of web Application Programming Interface (API) sharing
platforms, it is becoming an economic and efficient way for software developers to design …

Abstract Representation learning techniques for knowledge graphs (KGs) are crucial for
constructing knowledge-driven decisions in complex network data application scenarios …