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CSoNet 2026: International Conference on Computational Science and Network Intelligence

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CSoNet
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截稿日期:
2026-07-05 Extended
通知日期:
2026-08-01
会议日期:
2026-11-16
会议地点:
Ho Chi Minh City, Vietnam
届数:
浏览: 23903   关注: 1   参加: 0

会伴指数 (CP-I)

52.4 / 100
全站第 1,135 名 / 共 5,682 个会议 · 前 20%

系统与体系结构 第 133 / 341

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
75
社区关注 (10%)
17
资料公开度 (15%)
55

用到的输入: 有据可查的届次：15 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-16

征稿

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as a premier interdisciplinary forum for researchers, engineers, and practitioners to present and exchange original, unpublished research on the theoretical foundations, methodological advances, and real-world applications of computational intelligence in modern systems and networks.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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