{"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/meaformer-multi-modal-entity-alignment","title":"MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid","arxiv_id":"2212.14454","date":"2022-12-29","proceeding":null,"authors":["Zhuo Chen","Jiaoyan Chen","Wen Zhang","Lingbing Guo","Yin Fang","Yufeng Huang","Yichi Zhang","Yuxia Geng","Jeff Z. Pan","Wenting Song","Huajun Chen"],"abstract":"Multi-modal entity alignment (MMEA) aims to discover identical entities across different knowledge graphs (KGs) whose entities are associated with relevant images. 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