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The email features are generated from the semantic graph; hence, there is no need of embedding the words into a numerical vector representation. The method performance is tested on the different public datasets. Experiments in the public dataset show that the presented method achieves high accuracy in the email classification test against a few public datasets. The performance is better than the state-of-the-art deep learning-based method in terms of spam classification.<\/jats:p>","DOI":"10.1155\/2022\/6737080","type":"journal-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T17:21:13Z","timestamp":1641576073000},"page":"1-8","source":"Crossref","is-referenced-by-count":20,"title":["Semantic Graph Neural Network: A Conversion from Spam Email Classification to Graph Classification"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5468-022X","authenticated-orcid":true,"given":"Weisen","family":"Pan","sequence":"first","affiliation":[{"name":"China Mobile Technology (USA) Inc., Milpitas, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Li","sequence":"additional","affiliation":[{"name":"China Mobile Technology (USA) Inc., Milpitas, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa","family":"Gao","sequence":"additional","affiliation":[{"name":"China Mobile Technology (USA) Inc., Milpitas, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liexiang","family":"Yue","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Yang","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingli","family":"Deng","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Deng","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/ICROIT.2014.6798302"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-6861-5_17"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2009.05.005"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6689134"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-28648-6_110"},{"issue":"11","key":"6","article-title":"Email classification using artificial neural network","volume":"2","author":"A. 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