{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:03:35Z","timestamp":1777633415906,"version":"3.51.4"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892019","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":6,"title":["Rumour Detection on Social Media with Long-Tail Strategy"],"prefix":"10.1109","author":[{"given":"Guixian","family":"Zhang","sequence":"first","affiliation":[{"name":"Guangxi Normal University,Guangxi Key Lab of Multi-Source Information Mining & Security,Guilin,China,541004"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongjiao","family":"Liang","sequence":"additional","affiliation":[{"name":"Guangxi Normal University,Guangxi Key Lab of Multi-Source Information Mining & Security,Guilin,China,541004"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongyi","family":"Yu","sequence":"additional","affiliation":[{"name":"Guangxi Normal University,Guangxi Key Lab of Multi-Source Information Mining & Security,Guilin,China,541004"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shichao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Guangxi Normal University,Guangxi Key Lab of Multi-Source Information Mining & Security,Guilin,China,541004"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"Detecting rumors from microblogs with recurrent neural networks","author":"ma","year":"2016","journal-title":"IJCAI"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806607"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741637"},{"key":"ref30","article-title":"f-gan: Training generative neural samplers using variational divergence minimization","author":"nowozin","year":"0","journal-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems"},{"key":"ref35","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271709"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113322"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57454-7_32"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3391250"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11268"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3161030"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5393"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/197"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/technologies9010002"},{"key":"ref28","article-title":"Infograph: Unsupervised and semi-supervised graph-level representation learning via mutual information maximization","author":"sun","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1964858.1964869"},{"key":"ref27","article-title":"Dropedge: Towards deep graph convolutional networks on node classification","author":"rong","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-020-00994-6"},{"key":"ref6","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"0","journal-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems"},{"key":"ref29","article-title":"Learning deep representations by mutual information estimation and maximization","author":"hjelm","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331214"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411872"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1137\/070710111"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/107769900007700304"},{"key":"ref9","article-title":"Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations","author":"zubiaga","year":"0","journal-title":"Proceedings of COLING"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"ref20","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"0","journal-title":"Advances in neural information processing systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/214"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3408299"},{"key":"ref23","article-title":"Benchmarking graph neural networks","author":"dwivedi","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1177\/0956797615594620"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-2034"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892019.pdf?arnumber=9892019","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T20:52:10Z","timestamp":1665780730000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892019\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892019","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}