{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:28:35Z","timestamp":1763191715815,"version":"3.45.0"},"reference-count":61,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"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":[[2025,6,30]]},"DOI":"10.1109\/ijcnn64981.2025.11228083","type":"proceedings-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:46:15Z","timestamp":1763145975000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification"],"prefix":"10.1109","author":[{"given":"Zhuodong","family":"Jiang","sequence":"first","affiliation":[{"name":"University of Bristol,School of Computer Science,Bristol,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengju","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Bristol,School of Computer Science,Bristol,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Martin","sequence":"additional","affiliation":[{"name":"Univeristy of Bristol,School of Physics,Bristol,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/0304-3932(92)90025-W"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/jofi.12364"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115537"},{"key":"ref4","article-title":"Stock price prediction using arima model","volume":"8","author":"Ganesan","year":"2021","journal-title":"International Research Journal of Engineering and Technology (IRJET)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13572-4_31"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/UKSim.2014.67"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.52783\/jes.2699"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2009.932254"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539462"},{"article-title":"Neural stochastic agent-based limit order book simulation: A hybrid methodology","year":"2023","author":"Shi","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897650"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72378-0_72"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096855"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3366424.3383299"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/790\/1\/012109"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/NILES50944.2020.9257950"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.049"},{"issue":"8","key":"ref18","first-page":"324","article-title":"Intra and inter sector stock price forecasting using association rule mining (iisarm)","volume":"3","author":"Adheli","year":"2014","journal-title":"International Journal of Engineering Research & Technology"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2019.08.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117239"},{"key":"ref21","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/app13010222"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3696411"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.11.242"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447394"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450095"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-023-01817-6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119236"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/626"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557089"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i13.29381"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s100510050929"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5220\/0012406400003636"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3136768"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3327416"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3527480"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i4.20320"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i1.16077"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/c2013-0-10905-1"},{"article-title":"Topological graph neural networks","year":"2021","author":"Hom","key":"ref40"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.06.010"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3534540.3534691"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2017.11.132"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2018.09.022"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/11758501_7"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68560-1_23"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2007.04.101"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2011.04.031"},{"article-title":"How attentive are graph attention networks?","year":"2021","author":"Brody","key":"ref49"},{"key":"ref50","first-page":"688","article-title":"Improved large-scale graph learning through ridge spectral sparsification","volume-title":"International Conference on Machine Learning","author":"Calandriello"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899979"},{"key":"ref52","article-title":"Diffusion improves graph learning","volume":"32","author":"Gasteiger","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref53","first-page":"8133","article-title":"Rethinking gradient sparsification as total error minimization","volume":"34","author":"Sahu","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"article-title":"Tackling over-smoothing for general graph convolutional networks","year":"2020","author":"Huang","key":"ref54"},{"key":"ref55","first-page":"19665","article-title":"Decoupling the depth and scope of graph neural networks","volume":"34","author":"Zeng","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3233086"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1080\/00036840802600376"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-3932(01)00099-X"}],"event":{"name":"2025 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2025,6,30]]},"location":"Rome, Italy","end":{"date-parts":[[2025,7,5]]}},"container-title":["2025 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11227166\/11227148\/11228083.pdf?arnumber=11228083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T07:26:37Z","timestamp":1763191597000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11228083\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":61,"URL":"https:\/\/doi.org\/10.1109\/ijcnn64981.2025.11228083","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}