Advances in Clustering Analysis and Graph Neural Network
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 50
Special Issue Editor
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue of the journal Mathematics titled “Advances in Clustering Analysis and Graph Neural Network”. This initiative delves into the significant algorithmic advancements and mathematical foundations underlying modern clustering methods and Graph Neural Networks (GNNs). These fields have garnered immense interest due to their efficacy in uncovering hidden structures, performing robust data analysis, and modeling complex relationships within diverse datasets, particularly in the realm of applied mathematics and computational intelligence.
The Special Issue aims to highlight novel mathematical formulations, rigorous theoretical analyses, and innovative modeling methods that drive progress in clustering and GNNs. We invite high-quality original research or comprehensive review papers exploring the mathematical underpinnings, algorithmic design, optimization strategies, and practical applications in related areas. Topics of interest include, but are not limited to, the following: spectral clustering, multi-view clustering, subspace clustering, graph learning algorithms, representation learning, optimization problems in data analysis, theoretical aspects of GNNs, matrix factorization for clustering, sparse representation, and their applications in various scientific and engineering domains. We encourage submissions that showcase the mathematical rigor and practical impact of these cutting-edge techniques.
Dr. Jie Chen
Guest Editor
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 100 words) can be sent to the Editorial Office for announcement on this website.
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. Mathematics 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 2600 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.
Keywords
- clustering analysis
- graph neural networks
- multi-view clustering
- graph learning
- learning-based methods
- optimization problem
- applied mathematics
- representation learning
- spectral clustering
- sparse representation
- non-negative matrix factorization
- subspace clustering
- clustering algorithm
- similarity matrix
- low-rank tensor
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
