CSoNet 2026 (International Conference on Computational Science and Network Intelligence) is an academic conference held in Ho Chi Minh City, Vietnam on 2026-11-16. The paper submission deadline is 2026-07-05 (extended). Acceptance notifications are sent on 2026-08-01.
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as a premier interdisciplinary forum for researchers, engineers, and practitioners to present and exchange original, unpublished research on the theoretical foundations, methodological advances, and real-world applications of computational intelligence in modern systems and networks.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.
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