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Unified robust network embedding framework for community detection via extreme adversarial attacks 1 1 Introduction 1 2 Preliminaries and related work 2 2.1 Notations and the definition 2 2.2 NMF-based community detection 3 2.3 Adversarial learning 3 3 Methodology 4 3.1 Proposed framework 4 3.2 Optimization algorithm 5 3.3 Complexity analysis 7 4 Experiment 7 4.1 Evaluation metrics 7 4.2 Baselines 8 4.3 Parameter setting 8 4.4 Datasets 8 4.5 Tests on artificial benchmark networks 9 4.6 Tests on real-world networks 10 4.7 Tests on edge-missing networks 10 4.8 Parameter analysis 11 4.9 Further analysis w.r.t. perturbation times 11 4.10 Case study 12 5 Conclusion 12 CRediT authorship contribution statement 14 Declaration of competing interest 14 Data availability 14 Acknowledgements 15 References 15

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nonfiction