The 15th International Conference on Computational Science and Network Intelligence (CSoNet 2026) continues the tradition of the CSoNet conference series, which for fourteen years has provided a premier forum for research on networks, data, and computational methods. Beginning with its 15th edition, CSoNet adopts the expanded name Conference on Computational Science and Network Intelligence to reflect the evolving scope of the field. While maintaining its strong foundations in network science and data-driven modeling, CSoNet now explicitly embraces emerging directions in network learning and structure-aware AI. CSoNet 2026 aims to serve as a premier interdisciplinary forum for researchers, engineers, and practitioners to present and exchange original, unpublished research on the theoretical foundations, methodological advances, and real-world applications of computational intelligence in modern systems and networks. The conference will be organized at Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Vietnam.

Topics of interest include, but are not limited to:

Track A. Network Intelligence and Graph-Based Methods

• Graph theory and combinatorial optimization
• Network algorithms and analysis
• Graph neural networks and representation learning
• Learning on structured and relational data
• Dynamic, temporal, and evolving networks
• Complex networks and multilayer networks
• Network robustness, diffusion, and resilience
• Graph foundation models and scalable graph learning

Track B. Computational Science and Scientific Computing

• Numerical methods and large-scale optimization
• High-performance and parallel computing
• Scientific machine learning
• Simulation and modeling of complex systems
• Computational engineering and digital twins
• Data-driven modeling of physical and cyber-physical systems
• Distributed and large-scale algorithms

Track C. Artificial Intelligence and Data-Driven Methods

• Machine learning and deep learning
• AI for structured and scientific data
• Data mining and knowledge discovery
• Explainable and trustworthy AI
• Large-scale data analytics
• Optimization in AI systems
• Reinforcement learning and adaptive systems

Track D. Applications in Complex Systems

• Smart cities and urban systems
• Energy and sustainability systems
• Healthcare and biomedical systems
• Financial and economic systems
• Transportation and infrastructure networks
• Industrial AI and intelligent manufacturing
• Security, resilience, and risk analysis

Accepted papers will be published in Springer’s Lecture Notes in Computer Science, and indexed by ISI (CPCI-S, included in ISI Web of Science), EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, DBLP, Google Scholar, MathSciNet, etc. Also, extended versions of selected best papers will be invited for publication in Journal of Combinatorial Optimization, Applied Network Science, and IEEE Transactions on Network Science and Engineering.

Journal Track: Instead of having extended manuscripts published in journals, CSoNet 2026 introduces a special Journal Track designed to provide a direct pathway for high-quality research and survey papers to be published in prestigious journals. Authors submit their original work directly to this track. Submissions are reviewed specifically to meet journal publication standards. Accepted papers will be published directly in one of the following journals: Journal of Combinatorial Optimization, Applied Network Science, and IEEE Transactions on Network Science and Engineering. Authors of accepted journal papers must register and present their work at CSoNet 2026.

Submission Guidelines

1) For conference papers

Papers must be original and unpublished and must not be submitted concurrently for publication elsewhere. All paper submissions must adhere to the following guidelines:

• Papers must be formatted using the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) without altering margins or the font point.
• The maximum length of:
  • a regular paper (including references) is 14 pages
  • an extended abstract is 2 pages.
• Proofs omitted due to space constraints must be placed in an appendix to be read by the program committee members at their discretion.

Submission Link: https://meteor.springer.com/CSoNet2026

2) For journal track papers

Authors should choose one of the following journals:

• Journal of Combinatorial Optimization
• Applied Network Science
• IEEE Transactions on Network Science and Engineering

and submit directly to the selected journal. Templates and other requirements must comply with the chosen journal’s guidelines.

In the cover letter, authors must clearly state: “This manuscript is submitted to the journal track of CSoNet 2026.”

Important Dates

Paper Submission	Acceptance Notification	Camera Ready & Registration	Conference Dates
June 15, 2026	August 01, 2026	August 15, 2026	November 16 – 18, 2026