{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/modeling-relational-data-with-graph","title":"Modeling Relational Data with Graph Convolutional Networks","arxiv_id":"1703.06103","date":"2017-03-17","proceeding":null,"authors":["Michael Schlichtkrull","Thomas N. Kipf","Peter Bloem","Rianne van den Berg","Ivan Titov","Max Welling"],"abstract":"Knowledge graphs enable a wide variety of applications, including question\nanswering and information retrieval. Despite the great effort invested in their\ncreation and maintenance, even the largest (e.g., Yago, DBPedia or Wikidata)\nremain incomplete. 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