{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T18:35:57Z","timestamp":1778610957255,"version":"3.51.4"},"reference-count":74,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2021YFB1714800"],"award-info":[{"award-number":["2021YFB1714800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62002007"],"award-info":[{"award-number":["62002007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"S&amp;T Program of Hebei","award":["20310101D"],"award-info":[{"award-number":["20310101D"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-1763325"],"award-info":[{"award-number":["III-1763325"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-1909323"],"award-info":[{"award-number":["III-1909323"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["III-2106758"],"award-info":[{"award-number":["III-2106758"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["SaTC-1930941"],"award-info":[{"award-number":["SaTC-1930941"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2023,1,1]]},"DOI":"10.1109\/tpami.2022.3144993","type":"journal-article","created":{"date-parts":[[2022,1,25]],"date-time":"2022-01-25T20:38:22Z","timestamp":1643143102000},"page":"980-998","source":"Crossref","is-referenced-by-count":102,"title":["Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages"],"prefix":"10.1109","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7422-630X","authenticated-orcid":false,"given":"Hao","family":"Peng","sequence":"first","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2836-5912","authenticated-orcid":false,"given":"Ruitong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5604-7380","authenticated-orcid":false,"given":"Shaoning","family":"Li","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6579-3441","authenticated-orcid":false,"given":"Yuwei","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0794-527X","authenticated-orcid":false,"given":"Shirui","family":"Pan","sequence":"additional","affiliation":[{"name":"Department of Data Science and AI, Faculty of IT, Monash University, Clayton, VIC, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3491-5968","authenticated-orcid":false,"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois at Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1201\/9781315373515-10"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/2324796.2324825"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281210"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403088"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2016.0062"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref38","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc ACM SIGKDD Int Conf Knowl Discov Data Mining"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref32","first-page":"6827","article-title":"What makes for good views for contrastive learning?","author":"tian","year":"2020","journal-title":"Proc Conf Neural Informat Process Syst"},{"key":"ref31","first-page":"4116","article-title":"Contrastive multi-view representation learning on graphs","author":"hassani","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref30","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc Conf Neural Informat Process Syst"},{"key":"ref37","first-page":"1","article-title":"Deep graph infomax","author":"velickovic","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref36","first-page":"531","article-title":"Mutual information neural estimation","author":"belghazi","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref35","first-page":"1","article-title":"Learning deep representations by mutual information estimation and maximization","author":"hjelm","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref34","article-title":"In defense of the triplet loss for person re-identification","author":"hermans","year":"0"},{"key":"ref60","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc Conf Neural Informat Process Syst"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3063496"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054830"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054830"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463028"},{"key":"ref64","first-page":"1","article-title":"Can graph neural networks go","author":"galke","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411903"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3054304"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1060"},{"key":"ref29","first-page":"1","article-title":"Graph attention networks","author":"veli?kovi?","year":"2018","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref67","article-title":"Reinforcement learning enhanced heterogeneous graph neural network","author":"zhong","year":"0"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3490181"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/195"},{"key":"ref2","volume":"12","author":"allan","year":"2012","journal-title":"Topic Detection and Tracking Event-Based Information Organization"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41706-6_1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098027"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2017.2672672"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2016.04.012"},{"key":"ref24","first-page":"1008","article-title":"Actor-critic algorithms","author":"konda","year":"2000","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1089"},{"key":"ref26","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref25","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","author":"fujimoto","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005601"},{"key":"ref51","first-page":"2837","article-title":"Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance","volume":"11","author":"vinh","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3447270"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3119686"},{"key":"ref57","first-page":"181","article-title":"Parameter free bursty events detection in text streams","author":"fung","year":"2005","journal-title":"Proc Int Conf On Very Large Data Bases"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/1277741.1277780"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-013-0320-3"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.09.039"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.54"},{"key":"ref52","article-title":"Open graph benchmark: Datasets for machine learning on graphs","author":"hu","year":"0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449834"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.32"},{"key":"ref40","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220040"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330689"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3377939"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3138670"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2762344"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1030"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11919"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-016-0414-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3447585"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057167"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfds.2017.11.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2015.11.040"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s13278-017-0479-5"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/449"},{"key":"ref46","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2019","journal-title":"Proc North Amer Chapter Assoc Comput Linguistics"},{"key":"ref45","first-page":"957","article-title":"From word embeddings to document distances","author":"kusner","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref48","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.215"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1080\/03610927408827101"},{"key":"ref44","first-page":"993","article-title":"Latent dirichlet allocation","volume":"3","author":"blei","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref43","first-page":"1","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"Proc Int Conf Learn Representations"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/34\/9970415\/9693189-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/9970415\/09693189.pdf?arnumber=9693189","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:14:23Z","timestamp":1672082063000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9693189\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,1]]},"references-count":74,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2022.3144993","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,1]]}}}