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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Yuxin Tang",
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  "author": "Yuxin Tang",
            
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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.2306.01381",
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    "https://doi.org/10.48550/arXiv.2306.01381",
            
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    "https://doi.org/10.48550/arXiv.2306.00088"
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    "https://doi.org/10.48550/arXiv.2306.00088"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2202.00408",
            
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  "doi": "10.57702/kpy9x99b",
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  "doi": "10.57702/kpy9x99b",
            
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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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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Zhimin Ding",
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      "extra_author": "Zhimin Ding",
            
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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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      "extra_author": "Dimitrije Jankov",
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      "extra_author": "Dimitrije Jankov",
            
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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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      "extra_author": "Binhang Yuan",
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      "extra_author": "Binhang Yuan",
            
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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": "Daniel Bourgeois",
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      "extra_author": "Daniel Bourgeois",
            
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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": "Chris Jermaine",
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      "extra_author": "Chris Jermaine",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
            
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      "name": "graph-convolutional-networks",
            
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      "title": "Graph Convolutional Networks"
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      "title": "Graph Convolutional Networks"
            
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      "description": "",
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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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      "description": "",
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      "description": "",
            
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      "name": "product-recommendation",
            
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      "title": "Product Recommendation"
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      "title": "Product Recommendation"
            
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  "license_title": null,
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  "metadata_modified": "2024-12-16T23:23:19.226625",
            
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  "name": "ogbn-products",
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  "name": "ogbn-products",
            
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  "notes": "Graph Neural Networks (GNNs) have become a popular 
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  "notes": "Graph Neural Networks (GNNs) have become a popular 
            
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approach for various applications, ranging from social network 
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approach for various applications, ranging from social network 
            
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analysis to modeling chemical properties of molecules.",
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analysis to modeling chemical properties of molecules.",
            
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    {
            
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      "name": "graph neural networks",
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      "name": "graph neural networks",
            
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      "display_name": "product recommendation",
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      "name": "product recommendation",
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  ],
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  ],
            
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  "title": "ogbn-products",
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}