{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T00:27:27Z","timestamp":1772152047038,"version":"3.50.1"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,30]],"date-time":"2024-06-30T00:00:00Z","timestamp":1719705600000},"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":[[2024,6,30]]},"DOI":"10.1109\/ijcnn60899.2024.10650440","type":"proceedings-article","created":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T17:35:05Z","timestamp":1725903305000},"page":"1-8","source":"Crossref","is-referenced-by-count":9,"title":["A Dynamic Dual-Graph Neural Network for Stock Price Movement Prediction"],"prefix":"10.1109","author":[{"given":"Kelvin","family":"Du","sequence":"first","affiliation":[{"name":"Nanyang Technological University,School of Computer Science and Engineering,Singapore"}]},{"given":"Rui","family":"Mao","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,School of Computer Science and Engineering,Singapore"}]},{"given":"Frank","family":"Xing","sequence":"additional","affiliation":[{"name":"National University of Singapore,Department of Information Systems and Analytics,Singapore"}]},{"given":"Erik","family":"Cambria","sequence":"additional","affiliation":[{"name":"Nanyang Technological University,School of Computer Science and Engineering,Singapore"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.08.004"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s12559-018-9609-2"},{"key":"ref3","article-title":"Market trend prediction using sentiment analysis: lessons learned and paths forward","author":"Mudinas","year":"2019"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.85"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.10.025"},{"key":"ref6","article-title":"A comprehensive review on financial explainable AI","author":"Yeo","year":"2023"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102165"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3580480"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CAI59869.2024.00042"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.03.007"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.09.016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-62701-4_2"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2018.00051"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/810"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2017.00058"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098117"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330663"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412695"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269290"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020720"},{"key":"ref21","first-page":"2327","article-title":"Deep learning for event-driven stock prediction","volume-title":"Twenty-fourth International Joint Conference on Artificial Intelligence (IJCAI)","author":"Ding"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.186"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97289-3_8"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1183"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1086\/294743"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269269"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.676"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM58522.2023.00150"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2018.2866727"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.06.002"},{"key":"ref31","first-page":"127","article-title":"MetaPro Online: A computational metaphor processing online system","volume-title":"Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)","author":"Mao"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3649451"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/366"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-84628-737-4"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1069362747"},{"key":"ref37","article-title":"How attentive are graph attention networks?","author":"Brody","year":"2021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.71"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.09.020"},{"key":"ref40","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467297"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/9781118676998"},{"key":"ref43","first-page":"94","article-title":"Hierarchical attention network for explainable depression detection on Twitter aided by metaphor concept mappings","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics","author":"Han"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-023-00620-w"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2023.3329745"}],"event":{"name":"2024 International Joint Conference on Neural Networks (IJCNN)","location":"Yokohama, Japan","start":{"date-parts":[[2024,6,30]]},"end":{"date-parts":[[2024,7,5]]}},"container-title":["2024 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10649807\/10649898\/10650440.pdf?arnumber=10650440","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:19:49Z","timestamp":1725945589000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10650440\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,30]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/ijcnn60899.2024.10650440","relation":{},"subject":[],"published":{"date-parts":[[2024,6,30]]}}}