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  "author": "Abishek Thangamuthu",
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  "author": "Abishek Thangamuthu",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2211.05520",
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  "defined_in": "https://doi.org/10.48550/arXiv.2211.05520",
            
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  "doi": "10.57702/620vbgye",
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  "doi": "10.57702/620vbgye",
            
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  "doi_date_published": "2025-01-02",
            
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  "extra_authors": [
            
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    {
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      "extra_author": "Gunjan Kumar",
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      "extra_author": "Gunjan Kumar",
            
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    },
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      "extra_author": "Suresh Bishnoi",
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      "extra_author": "Suresh Bishnoi",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Ravinder Bhattoo",
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      "orcid": ""
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    },
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    {
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      "extra_author": "N M Anoop Krishnan",
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      "extra_author": "N M Anoop Krishnan",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Sayan Ranu",
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      "extra_author": "Sayan Ranu",
            
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      "orcid": ""
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      "title": "Physics-informed Graph Neural Networks"
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      "title": "Physics-informed Graph Neural Networks"
            
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  "notes": "The dataset used in this paper is a collection of 
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  "notes": "The dataset used in this paper is a collection of 
            
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simulated trajectories of physical systems, including n-pendulum, 
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simulated trajectories of physical systems, including n-pendulum, 
            
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n-spring, 4-body gravitational system, and rigid-body system.",
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      "display_name": "n-spring",
            
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      "display_name": "physics-informed Graph Neural Networks",
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      "name": "physics-informed Graph Neural Networks",
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  ],
            
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  "title": "Physics-informed Graph Neural Networks for Dynamical 
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Systems",
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Systems",
            
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  "version": ""
            
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}
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}