This survey article presents a comprehensive and conceptual overview of anomaly detection
(AD) using dynamic graphs. We focus on existing graph-based AD techniques and their …

Manufacturing process monitoring is crucial to ensure production quality. This paper
formulates the detection problem of abnormal changes in the manufacturing process as the …

Aiming at the problem of load fluctuation at the power end of large ports, we propose a
hybrid neural network joint model based on Mode Decomposition (MD) and Change Point …

Change point detection in dynamic networks aims to detect the points of sudden change or
abnormal events within the network. It has garnered substantial interest from researchers …

In object detection, localization and classification of the targets are two fundamental
subtasks that underpin the application of many knowledge-based intelligent models in …

Community detection in multi-layer networks stands as a prominent subject within network
analysis research. However, the majority of existing techniques for identifying communities …

Change point detection is crucial for identifying state transitions and anomalies in dynamic
systems, with applications in network security, health care, and social network analysis …

Change-point detection in dynamic networks is a challenging task which is particularly due
to the complex nature of temporal graphs. Existing approaches are based on the extraction …

The operating process of complex systems usually manifest in multiple distinct operating
modes. In the case of a wind turbine, for example, its operating mode is highly influenced by …

Given a large graph stream with dynamically changing structures over a given timestep, it is
important to detect the sudden appearance of anomalous patterns, such as sudden spikes in …