(2026). Robust deep nonnegative rank matrix factorization to enhancing the efficiency of controllability in temporal networks using mixed-strategy game theory. Complex & Intelligent Systems.
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Chicago Style (17th ed.) Citation
"Robust Deep Nonnegative Rank Matrix Factorization to Enhancing the Efficiency of Controllability in Temporal Networks Using Mixed-strategy Game Theory."
Complex & Intelligent Systems 2026.
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MLA (9th ed.) Citation
"Robust Deep Nonnegative Rank Matrix Factorization to Enhancing the Efficiency of Controllability in Temporal Networks Using Mixed-strategy Game Theory."
Complex & Intelligent Systems, 2026.
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Warning: These citations may not always be 100% accurate.