{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:07:41Z","timestamp":1765544861804,"version":"3.37.3"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006633","name":"Bowling Green State University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006633","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,11,11]]},"DOI":"10.1109\/ipccc55026.2022.9894334","type":"proceedings-article","created":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T19:51:26Z","timestamp":1665604286000},"page":"65-72","source":"Crossref","is-referenced-by-count":5,"title":["Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection"],"prefix":"10.1109","author":[{"given":"Zenan","family":"Sun","sequence":"first","affiliation":[{"name":"Bowling Green State University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyi","family":"Su","sequence":"additional","affiliation":[{"name":"Bowling Green State University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donghyun","family":"Jeon","sequence":"additional","affiliation":[{"name":"Bowling Green State University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alvaro","family":"Velasquez","sequence":"additional","affiliation":[{"name":"University of Colorado Boulder,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Houbing","family":"Song","sequence":"additional","affiliation":[{"name":"Embry-Riddle Aeronautical University,Department of Electrical Engineering and Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuteng","family":"Niu","sequence":"additional","affiliation":[{"name":"Bowling Green State University,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1007\/s10618-014-0365-y"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1016\/j.comcom.2022.09.029"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/TPAMI.2013.50"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1007\/978-1-4419-8462-3_5"},{"year":"2019","author":"Chalapathy","article-title":"Deep learning for anomaly detection: A survey","key":"ref5"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1145\/3477495.3531757"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/ICASSP.2013.6639344"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/ICASSP.2013.6639345"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1145\/3340531.3411903"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1145\/3133956.3134015"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1145\/3366423.3380297"},{"year":"2017","author":"Hamilton","article-title":"Representation learning on graphs: Methods and applications","key":"ref12"},{"volume-title":"Inductive Representation Learning on Large Graphs","year":"2017","author":"Hamilton","key":"ref13"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1145\/3366423.3380027"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1145\/3366423.3380027"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/CoG47356.2020.9231687"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/ACCESS.2020.3031549"},{"year":"2016","author":"Kipf","article-title":"Semi-supervised classification with graph convolutional networks","key":"ref18"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.3390\/jimaging4020036"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.24963\/ijcai.2018\/117"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1609\/aaai.v33i01.33014456"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/TAI.2021.3054609"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1145\/3439950"},{"doi-asserted-by":"publisher","key":"ref24","DOI":"10.1145\/3490181"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.1109\/TNN.2008.2005605"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/CVPR.2015.7298682"},{"volume-title":"Reinforcement learning: An introduction","year":"2018","author":"Sutton","key":"ref27"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1016\/j.neunet.2020.07.025"},{"doi-asserted-by":"publisher","key":"ref29","DOI":"10.1145\/3308558.3313562"},{"key":"ref30","article-title":"Image denoising and inpainting with deep neural networks","volume":"25","author":"Xie","year":"2012","journal-title":"Advances in neural information processing systems"},{"year":"2018","author":"Xu","article-title":"How powerful are graph neural networks?","key":"ref31"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1109\/MCI.2018.2840738"},{"doi-asserted-by":"publisher","key":"ref33","DOI":"10.1145\/3292500.3330961"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1609\/aaai.v34i05.6508"},{"key":"ref35","article-title":"Graph Neural Networks: A Review of Methods and Applications","volume":"abs\/1812.08434","author":"Zhou","year":"2018","journal-title":"CoRR"},{"doi-asserted-by":"publisher","key":"ref36","DOI":"10.1016\/j.aiopen.2021.01.001"}],"event":{"name":"2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)","start":{"date-parts":[[2022,11,11]]},"location":"Austin, TX, USA","end":{"date-parts":[[2022,11,13]]}},"container-title":["2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9894293\/9894294\/09894334.pdf?arnumber=9894334","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T20:39:08Z","timestamp":1705955948000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9894334\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,11]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/ipccc55026.2022.9894334","relation":{},"subject":[],"published":{"date-parts":[[2022,11,11]]}}}