{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:04:33Z","timestamp":1754154273597,"version":"3.41.2"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,13]]},"DOI":"10.1109\/hpcc64274.2024.00178","type":"proceedings-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T18:33:48Z","timestamp":1753295628000},"page":"1333-1340","source":"Crossref","is-referenced-by-count":0,"title":["Joint Multi-modal Graph Structure and Representation Learning for Fake News Detection"],"prefix":"10.1109","author":[{"given":"Hao","family":"Jin","sequence":"first","affiliation":[{"name":"Nanjing University of Posts and Telecommunications (NJUPT),College of Automation &amp; College of Artificial Intelligence,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiahuan","family":"Lu","sequence":"additional","affiliation":[{"name":"College of Automation NJUPT,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Automation NJUPT,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yimu","family":"Ji","sequence":"additional","affiliation":[{"name":"Zhejiang University,The State Key Laboratory of Blockchain and Data Security,Hangzhou,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Yuan","family":"Jing","sequence":"additional","affiliation":[{"name":"Guangdong University of Petrochemical Technology,Guangdong Provincial Key Laboratory of Petrochemical Equipment Intelligent Security,Maoming,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1145\/2736277.2741637"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.ins.2019.05.035"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1145\/3137597.3137600"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1145\/3581783.3612086"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1609\/aaai.v33i01.33017370"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.18653\/v1\/2024.acl-long.316"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1145\/3219819.3219903"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/BigMM.2019.00-44"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/IJCNN48605.2020.9206973"},{"year":"2018","author":"Devlin","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","key":"ref10"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1145\/3485447.3511968"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/ICASSP49357.2023.10096188"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1145\/3308558.3313552"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/LSP.2022.3181893"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1145\/3404835.3462871"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/TNN.2008.2005605"},{"year":"2016","author":"Kipf","article-title":"Semi-supervised classification with graph convolutional networks","key":"ref17"},{"year":"2017","author":"Veli\u010dkovi\u0107","article-title":"Graph attention networks","key":"ref18"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1609\/aaai.v38i15.29618"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1609\/aaai.v34i01.5393"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1145\/3451215"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1145\/3581783.3612086"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1145\/3123266.3123454"},{"key":"ref24","first-page":"6149","article-title":"Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection","volume-title":"Language Resources and Evaluation Conference","author":"Nakamura"},{"key":"ref25","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"International Conference on Learning Representations","author":"Kingma"},{"issue":"11","key":"ref26","article-title":"Visualizing data using t-sne","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","start":{"date-parts":[[2024,12,13]]},"location":"Wuhan, China","end":{"date-parts":[[2024,12,15]]}},"container-title":["2024 IEEE International Conference on High Performance Computing and Communications (HPCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11083115\/11083125\/11083294.pdf?arnumber=11083294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T04:50:03Z","timestamp":1753332603000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11083294\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,13]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/hpcc64274.2024.00178","relation":{},"subject":[],"published":{"date-parts":[[2024,12,13]]}}}