Advances in Complex Networks: Graph Theory, AI, and Data Science

Dear Colleagues,

In recent years, the study of complex networks has become a central topic across mathematics, computer science, physics, and engineering. The rapid growth of data-driven technologies and artificial intelligence (AI) has created new opportunities for understanding, modeling, and optimizing complex systems—ranging from social and biological networks to communication, transport, and information systems.

This Special Issue aims to bring together cutting-edge research and innovative methodologies at the intersection of graph theory, AI, and data science. It welcomes both theoretical developments and practical applications that address the challenges of analyzing, modeling, and leveraging complex network structures in real-world contexts.

Topics of interest include, but are not limited to, the following:

• Advanced theories and methods in graph theory and network science; 
• AI and machine learning techniques for network analysis and prediction; 
• Network representation learning and graph neural networks (GNNs); 
• Link prediction, community detection, and network reconstruction in complex systems; 
• Dynamic and multilayer networks modeling; 
• Network robustness, resilience, and control; 
• Applications in social, biological, transportation, energy, and information networks; 
• Data-driven approaches to complex network inference and optimization.

This Special Issue seeks to foster interdisciplinary dialogue between researchers and practitioners in mathematics, data science, computer science, and engineering, promoting the development of novel tools and theories for understanding the structure and dynamics of complex interconnected systems.

Dr. Huan Wang
Dr. Shichao Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.