Multiplex Network

Multiplex networks model complex systems with multiple interconnected layers representing different interaction types among the same entities. Current research focuses on developing advanced algorithms, such as graph attention networks and graph convolutional networks, to analyze these networks, particularly for tasks like community detection, link prediction, and embedding generation. These methods are applied across diverse fields, including neuroscience, image analysis, social network analysis, and even biological systems modeling, improving our understanding of complex relationships and enabling more accurate predictions. The resulting insights have significant implications for various scientific disciplines and practical applications, ranging from disease prediction to improved social media analysis.