{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:15:16Z","timestamp":1771701316090,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tkde.2021.3112749","type":"journal-article","created":{"date-parts":[[2021,9,28]],"date-time":"2021-09-28T21:47:25Z","timestamp":1632865645000},"page":"1-1","source":"Crossref","is-referenced-by-count":29,"title":["Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market"],"prefix":"10.1109","author":[{"given":"Hao","family":"Peng","sequence":"first","affiliation":[]},{"given":"Jianxin","family":"Li","sequence":"additional","affiliation":[]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Renyu","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Mingsheng","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Mingming","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Philip","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Lifang","family":"He","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11146-007-9036-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007703229507"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.11.040"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhe.2004.04.004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.14569\/ijacsa.2017.081042"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/s0079-7421(08)60536-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.14778\/2367502.2367566"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00060"},{"key":"ref11","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Veli\u010dkovi\u0107"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref13","first-page":"6000","article-title":"Attention is all you need","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/449"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3447585"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18178\/wcse.2019.06.016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411903"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3490181"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref21","first-page":"25","article-title":"House price prediction: Hedonic price model vs. artificial neural network","volume-title":"Proc. New Zealand Agricultural Resource Econ. Soc. Conf.","author":"Limsombunchai"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.044"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/jae.2471"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11146-011-9359-3"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93037-4_16"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358061"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97304-3_27"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330964"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46227-1_38"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330961"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3074654"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105617"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401057"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5984"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04167-0\\_33"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107000"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3057082"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-018-9943-9"},{"issue":"70","key":"ref41","first-page":"1","article-title":"Representation learning for dynamic graphs: A survey","volume":"21","author":"Kazemi","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref42","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Shi"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.11.021"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00107"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274896"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013656"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3274895.3274907"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.01.043"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2021.07.007"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240656"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2900481"},{"key":"ref53","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","author":"Wu","year":"2021"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2945381"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545895"},{"key":"ref56","article-title":"Progressive neural networks","author":"Rusu","year":"2016"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.753"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/69\/4358933\/09551724.pdf?arnumber=9551724","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:06:41Z","timestamp":1705018001000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9551724\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/tkde.2021.3112749","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}