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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Donald Loveland",
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  "author": "Donald Loveland",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.2202.04837"
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    "https://doi.org/10.48550/arXiv.2202.04837"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2201.03681",
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  "defined_in": "https://doi.org/10.48550/arXiv.2201.03681",
            
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  "doi": "10.57702/pwziwz6e",
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  "doi": "10.57702/pwziwz6e",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Jiayi Pan",
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      "extra_author": "Jiayi Pan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Aaresh Farrokh Bhathena",
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      "extra_author": "Aaresh Farrokh Bhathena",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Yiyang Lu",
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      "extra_author": "Yiyang Lu",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "credit",
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      "name": "credit",
            
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      "title": "Credit"
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      "title": "Credit"
            
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      "name": "fairness",
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      "name": "fairness",
            
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      "title": "Fairness"
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      "title": "Fairness"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Graph Neural Networks",
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      "display_name": "Graph Neural Networks",
            
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      "image_display_url": "",
            
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      "name": "graph-neural-networks",
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      "name": "graph-neural-networks",
            
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      "title": "Graph Neural Networks"
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      "title": "Graph Neural Networks"
            
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  "landing_page": "https://github.com/royull/FairEdit",
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  "metadata_created": "2024-12-16T20:35:43.657117",
            
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  "metadata_modified": "2024-12-16T20:35:44.056137",
            
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  "name": "credit-default-dataset",
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  "name": "credit-default-dataset",
            
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  "notes": "The dataset used in the paper is a graph dataset, where 
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  "notes": "The dataset used in the paper is a graph dataset, where 
            
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each node represents a person and each edge represents a connection 
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each node represents a person and each edge represents a connection 
            
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between two people. The dataset is used to evaluate the fairness of 
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between two people. The dataset is used to evaluate the fairness of 
            
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graph neural networks.",
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graph neural networks.",
            
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distributions based on DCAT.",
            
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      "display_name": "Credit Default",
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      "display_name": "Fairness",
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      "display_name": "Fairness",
            
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      "id": "c12521f8-dc9c-4a84-9bd5-5dae7ab1c705",
            
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      "name": "Fairness",
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      "name": "Fairness",
            
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      "display_name": "Graph Neural Networks",
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      "display_name": "Graph Neural Networks",
            
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      "id": "8c619694-1a66-4a7d-bcda-bb2d6265d082",
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      "name": "Graph Neural Networks",
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  ],
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  "title": "Credit Default Dataset",
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  "title": "Credit Default Dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}