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  "access_rights": "",
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  "author": "Yunian Pan",
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  "author": "Yunian Pan",
            
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  "extra_authors": [
            
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    {
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      "extra_author": "Tao Li",
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      "extra_author": "Tao Li",
            
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    {
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      "extra_author": "Quanyan Zhu",
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      "extra_author": "Quanyan Zhu",
            
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  "notes": "The dataset used in the paper is a transportation network, 
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  "notes": "The dataset used in the paper is a transportation network, 
            
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which is a directed, finite, and connected graph G = (V, E) without 
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which is a directed, finite, and connected graph G = (V, E) without 
            
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self-loops. The vertices V represent road junctions, and the edges E 
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self-loops. The vertices V represent road junctions, and the edges E 
            
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represent road segments. The set of distinct origin-destination (OD) 
            
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pairs is W \u2286 V \u00d7 V, indexed by w, with cardinality W.",
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pairs is W \u2286 V \u00d7 V, indexed by w, with cardinality W.",
            
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  "title": "Resilience of Traf\ufb01c Networks under Non-Equilibrium 
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  "title": "Resilience of Traf\ufb01c Networks under Non-Equilibrium 
            
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Learning",
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Learning",
            
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}
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}