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  "author": "Ziwei Chai",
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  "author": "Ziwei Chai",
            
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      "extra_author": "Tianjie Zhang",
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      "extra_author": "Tianjie Zhang",
            
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    },
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    {
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      "extra_author": "Liang Wu",
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      "extra_author": "Liang Wu",
            
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      "orcid": ""
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    },
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      "extra_author": "Kaiqiao Han",
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      "extra_author": "Kaiqiao Han",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Xiaohai Hu",
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      "extra_author": "Xiaohai Hu",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Xuanwen Huang",
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      "extra_author": "Xuanwen Huang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Yang Yang",
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      "extra_author": "Yang Yang",
            
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      "orcid": ""
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  "notes": "The dataset used in the GraphLLM paper, which consists of 
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  "notes": "The dataset used in the GraphLLM paper, which consists of 
            
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four fundamental graph reasoning tasks: substructure counting, maximum 
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four fundamental graph reasoning tasks: substructure counting, maximum 
            
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triplet sum, shortest path, and bipartite graph matching.",
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triplet sum, shortest path, and bipartite graph matching.",
            
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