{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:22:38Z","timestamp":1740100958470,"version":"3.37.3"},"reference-count":37,"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"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072423"],"award-info":[{"award-number":["62072423"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892482","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":1,"title":["Multi-Relational Graph Convolution Network for Stock Movement Prediction"],"prefix":"10.1109","author":[{"given":"Zihao","family":"Zhou","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Le","family":"Zhang","sequence":"additional","affiliation":[{"name":"Baidu Research, Baidu Inc"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Zha","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiming","family":"Hao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Di","family":"Wu","sequence":"additional","affiliation":[{"name":"Hainan Century Frontier Asset Management Co. Ltd"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enhong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/3.2.175"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380299"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467388"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","article-title":"Principal component analysis","volume":"2","author":"wold","year":"1987","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966019"},{"key":"ref36","first-page":"134","article-title":"Mmea: entity alignment for multi-modal knowledge graph","author":"chen","year":"0","journal-title":"International Conference on Knowledge Science Engineering and Management"},{"key":"ref35","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1093\/revfin\/hhm003"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/UKSim.2014.67"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-1255(199701)12:1<49::AID-JAE422>3.0.CO;2-6"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-131X(199604)15:3<229::AID-FOR620>3.0.CO;2-3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.06.040"},{"key":"ref15","article-title":"Predicting the direction of stock market prices using random forest","author":"khaidem","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-019-05815-0"},{"key":"ref17","article-title":"Clvsa: A convolutional lstm based variational sequence-to-sequence model with attention for predicting trends of financial markets","author":"wang","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098117"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/366"},{"key":"ref28","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.1993.tb04702.x"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3149047"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2307\/2490232"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115537"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/jofi.12364"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2017.00058"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.29007\/qfmh"},{"key":"ref2","first-page":"383","article-title":"Efficient capital markets: A review of theory and empirical work","volume":"25","author":"ball","year":"1970","journal-title":"The Journal of Finance"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330663"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1086\/294743"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269269"},{"key":"ref22","article-title":"Hats: A hierarchical graph attention network for stock movement prediction","author":"kim","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3309547"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412160"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412695"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref25","first-page":"4640","article-title":"Hierarchical multi-scale gaussian transformer for stock movement prediction","author":"ding","year":"2020","journal-title":"IJCAI"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","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\/09892482.pdf?arnumber=9892482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:58:34Z","timestamp":1667516314000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892482\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892482","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}