{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T15:36:09Z","timestamp":1768404969998,"version":"3.49.0"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T00:00:00Z","timestamp":1649289600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T00:00:00Z","timestamp":1649289600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Sign Process Syst"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s11265-022-01755-6","type":"journal-article","created":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T04:12:32Z","timestamp":1649304752000},"page":"1283-1292","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Graph Representation Learning for Similarity Stocks Analysis"],"prefix":"10.1007","volume":"94","author":[{"given":"Boyao","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Chao","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6875-7155","authenticated-orcid":false,"given":"Haikuo","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Zongguo","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jingqi","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Lihua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yonghua","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Yangang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,4,7]]},"reference":[{"issue":"3","key":"1755_CR1","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/j.jfineco.2019.10.007","volume":"136","author":"U Ali","year":"2020","unstructured":"Ali, U., & Hirshleifer, D. (2020). Shared analyst coverage: Unifying momentum spillover effects. Journal of Financial Economics, 136(3), 649\u2013675. https:\/\/doi.org\/10.1016\/j.jfineco.2019.10.007","journal-title":"Journal of Financial Economics"},{"issue":"2","key":"1755_CR2","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1016\/j.jfineco.2018.08.003","volume":"131","author":"X Huang","year":"2019","unstructured":"Huang, X. (2019). Mark twain\u2019s cat: Investment experience, categorical thinking, and stock selection. Journal of Financial Economics, 131(2), 404\u2013432. https:\/\/doi.org\/10.1016\/j.jfineco.2018.08.003","journal-title":"Journal of Financial Economics"},{"issue":"9","key":"1755_CR3","doi-asserted-by":"publisher","first-page":"1630","DOI":"10.1109\/TKDE.2018.2866863","volume":"31","author":"R Lu","year":"2018","unstructured":"Lu, R., Jin, X., Zhang, S., Qiu, M., & Wu, X. (2018). A study on big knowledge and its engineering issues. IEEE Transactions on Knowledge and Data Engineering, 31(9), 1630\u20131644. https:\/\/doi.org\/10.1109\/TKDE.2018.2866863","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"4","key":"1755_CR4","doi-asserted-by":"publisher","first-page":"1977","DOI":"10.1111\/j.1540-6261.2008.01379.x","volume":"63","author":"L Cohen","year":"2008","unstructured":"Cohen, L., & Frazzini, A. (2008). Economic links and predictable returns. The Journal of Finance, 63(4), 1977\u20132011. https:\/\/doi.org\/10.1111\/j.1540-6261.2008.01379.x","journal-title":"The Journal of Finance"},{"issue":"10","key":"1755_CR5","doi-asserted-by":"publisher","first-page":"4721","DOI":"10.1093\/rfs\/hhz145","volume":"33","author":"CA Parsons","year":"2020","unstructured":"Parsons, C. A., Sabbatucci, R., & Titman, S. (2020). Geographic lead-lag effects. The Review of Financial Studies, 33(10), 4721\u20134770. https:\/\/doi.org\/10.1093\/rfs\/hhz145","journal-title":"The Review of Financial Studies"},{"issue":"3","key":"1755_CR6","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.jfineco.2018.11.008","volume":"132","author":"CM Lee","year":"2019","unstructured":"Lee, C. M., Sun, S. T., Wang, R., & Zhang, R. (2019). Technological links and predictable returns. Journal of Financial Economics, 132(3), 76\u201396. https:\/\/doi.org\/10.1016\/j.jfineco.2018.11.008","journal-title":"Journal of Financial Economics"},{"key":"1755_CR7","unstructured":"Weber, M. (1993). The sociology of religion. Beacon Press."},{"key":"1755_CR8","doi-asserted-by":"publisher","unstructured":"Hertwig, R., Barron, G., Weber, E. U., & Erev, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychological Science, 15(8), 534\u2013539. https:\/\/doi.org\/10.1111\/2Fj.0956-7976.2004.00715.x","DOI":"10.1111\/2Fj.0956-7976.2004.00715.x"},{"issue":"5","key":"1755_CR9","doi-asserted-by":"publisher","first-page":"2451","DOI":"10.1111\/j.1540-6261.2006.01063.x","volume":"61","author":"A Kumar","year":"2006","unstructured":"Kumar, A., & Lee, C. M. (2006). Retail investor sentiment and return comovements. The Journal of Finance, 61(5), 2451\u20132486. https:\/\/doi.org\/10.1111\/j.1540-6261.2006.01063.x","journal-title":"The Journal of Finance"},{"issue":"1","key":"1755_CR10","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.ijhm.2007.06.003","volume":"27","author":"S Oak","year":"2008","unstructured":"Oak, S., & Dalbor, M. C. (2008). Institutional investor preferences for lodging stocks. International journal of hospitality management, 27(1), 3\u201311. https:\/\/doi.org\/10.1016\/j.ijhm.2007.06.003","journal-title":"International journal of hospitality management"},{"issue":"3","key":"1755_CR11","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.jpdc.2012.09.007","volume":"73","author":"G Wu","year":"2013","unstructured":"Wu, G., Zhang, H., Qiu, M., et al. (2013). A decentralized approach for mining event correlations in distributed system monitoring. JPDC, 73(3), 330\u2013340. https:\/\/doi.org\/10.1016\/j.jpdc.2012.09.007","journal-title":"JPDC"},{"key":"1755_CR12","doi-asserted-by":"publisher","unstructured":"Qiu, M., Chen, Z., Niu, J., Zong, Z., Quan, G., Qin, X., & Yang, L. T. (2015).\u00a0Data allocation for hybrid memory with genetic algorithm. IEEE Transactions on Emerging Topics in Computing, 3(4), 544\u2013555. https:\/\/doi.org\/10.1109\/TKDE.2018.2866863","DOI":"10.1109\/TKDE.2018.2866863"},{"key":"1755_CR13","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2012.0310","author":"M Qiu","year":"2013","unstructured":"Qiu, M., Khisamutdinov, E., et al. (2013). RNA nanotechnology for computer design and in vivo computation. Philosophical Transactions of the Royal Society A. https:\/\/doi.org\/10.1098\/rsta.2012.0310","journal-title":"Philosophical Transactions of the Royal Society A"},{"key":"1755_CR14","doi-asserted-by":"publisher","unstructured":"Gai, K., Qiu, M., Thuraisingham, B., & Tao, L. (2015). Proactive attribute-based secure data schema for mobile cloud in financial industry. In 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems. IEEE, 1332\u20131337.\u00a0https:\/\/doi.org\/10.1109\/HPCC-CSS-ICESS.2015.250","DOI":"10.1109\/HPCC-CSS-ICESS.2015.250"},{"key":"1755_CR15","unstructured":"Deng, W. T. (2019). Application of the quantitative investment based on machine learning methods. Harbin Institute of Technology."},{"key":"1755_CR16","doi-asserted-by":"publisher","unstructured":"White, H. (1988). Economic prediction using neural networks: The case of IBM daily stock returns. Neural Networks, IEEE International Conference. https:\/\/doi.org\/10.1109\/ICNN.1988.23959","DOI":"10.1109\/ICNN.1988.23959"},{"issue":"4","key":"1755_CR17","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/S0305-0483(01)00026-3","volume":"29","author":"FE Tay","year":"2001","unstructured":"Tay, F. E., & Cao, L. (2001). Application of support vector machines in financial time series forecasting. Omega-international Journal of Management Science, 29(4), 309\u2013317. https:\/\/doi.org\/10.1016\/S0305-0483(01)00026-3","journal-title":"Omega-international Journal of Management Science"},{"issue":"2","key":"1755_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3309547","volume":"37","author":"F Feng","year":"2019","unstructured":"Feng, F., He, X., Wang, X., Luo, C., Liu, Y., & Chua, T. S. (2019). Temporal relational ranking for stock prediction. ACM Transactions on Information Systems (TOIS), 37(2), 1\u201330. https:\/\/doi.org\/10.1145\/3309547","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"issue":"2","key":"1755_CR19","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1057\/s41275-017-0056-8","volume":"15","author":"H Kim","year":"2017","unstructured":"Kim, H. (2017). Building a K-Pop knowledge graph using an entertainment ontology. Knowledge Management Research & Practice, 15(2), 305\u2013315. https:\/\/doi.org\/10.1057\/s41275-017-0056-8","journal-title":"Knowledge Management Research & Practice"},{"key":"1755_CR20","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.artmed.2017.04.001","volume":"77","author":"T Yu","year":"2017","unstructured":"Yu, T., Li, J., Yu, Q., Tian, Y., Shun, X., Xu, L., & Gao, H. (2017). Knowledge graph for TCM health preservation: Design, construction, and applications. Artificial intelligence in medicine, 77, 48\u201352. https:\/\/doi.org\/10.1016\/j.artmed.2017.04.001","journal-title":"Artificial intelligence in medicine"},{"key":"1755_CR21","doi-asserted-by":"publisher","unstructured":"Sun, J., Gao, J., Zhang, L., Zhou, M., & Huang, C. (2002). Chinese named entity identification using class-based language model. In COLING 2002: The 19th International Conference on Computational Linguistics. https:\/\/doi.org\/10.3115\/1072228.1072240","DOI":"10.3115\/1072228.1072240"},{"key":"1755_CR22","doi-asserted-by":"publisher","unstructured":"Zhang, H. P., Liu, Q., Yu, H. K., Cheng, X., & Bai, S. (2003). Chinese named entity recognition using role model. In International Journal of Computational Linguistics & Chinese Language Processing, 8(2),\u00a029\u201360. https:\/\/doi.org\/10.1109\/ICMLC.2014.7009718","DOI":"10.1109\/ICMLC.2014.7009718"},{"key":"1755_CR23","doi-asserted-by":"publisher","unstructured":"McCallum, A., & Li, W. (2003). Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons. In Proceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL,\u00a04, 188\u2013191. https:\/\/doi.org\/10.3115\/1119176.1119206","DOI":"10.3115\/1119176.1119206"},{"issue":"6","key":"1755_CR24","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1162\/153244303322533205","volume":"3","author":"D Zelenko","year":"2003","unstructured":"Zelenko, D., Aone, C., & Richardella, A. (2003). Kernel Methods for Relation Extraction. Journal of Machine Learning Research, 3(6), 1083\u20131106. https:\/\/doi.org\/10.1162\/153244303322533205","journal-title":"Journal of Machine Learning Research"},{"key":"1755_CR25","unstructured":"Zeng, D., Liu, K., Lai, S., Zhou, G., & Zhao, J. (2014). Relation classification via convolutional deep neural network. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2335\u20132344."},{"key":"1755_CR26","unstructured":"Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., & Yakhnenko, O. (2013). Translating embeddings for modeling multi-relational data. Advances in Neural Information Processing Systems, 26."},{"key":"1755_CR27","doi-asserted-by":"publisher","unstructured":"Perozzi, B., Al-Rfou, R., & Skiena, S. (2014). Deepwalk: Online learning of social representations. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 701\u2013710. https:\/\/doi.org\/10.1145\/2623330.2623732","DOI":"10.1145\/2623330.2623732"},{"key":"1755_CR28","unstructured":"Mikolov, T., Chen, K., Corrado, G., & Dean, J.\u00a0(2013a). Efficient Estimation of Word Representations in Vector Space. In ICLR Workshop Papers."},{"key":"1755_CR29","doi-asserted-by":"publisher","unstructured":"Grover, A., & Leskovec, J. (2016). node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 855\u2013864. https:\/\/doi.org\/10.1145\/2939672.2939754","DOI":"10.1145\/2939672.2939754"},{"issue":"1","key":"1755_CR30","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","volume":"20","author":"F Scarselli","year":"2008","unstructured":"Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., & Monfardini, G. (2008). The graph neural network model. IEEE transactions on neural networks, 20(1), 61\u201380. https:\/\/doi.org\/10.1109\/TNN.2008.2005605","journal-title":"IEEE transactions on neural networks"},{"key":"1755_CR31","unstructured":"Kipf,\u00a0T. N. & Welling, M. (2016). Semi-supervised classification with graph convolutional networks. In ICLR"},{"key":"1755_CR32","doi-asserted-by":"publisher","unstructured":"Thakur, K., Qiu, M., Gai, K., & Ali, M. L. (2015). An investigation on cyber security threats and security models. In 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing, 307\u2013311. https:\/\/doi.org\/10.1109\/CSCloud.2015.71","DOI":"10.1109\/CSCloud.2015.71"},{"issue":"5","key":"1755_CR33","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1016\/j.jcss.2012.11.002","volume":"79","author":"M Qiu","year":"2013","unstructured":"Qiu, M., Zhang, L., Ming, Z., Chen, Z., Qin, X., & Yang, L. T. (2013). Security-aware optimization for ubiquitous computing systems with SEAT graph approach. Journal of Computer and System Sciences, 79(5), 518\u2013529. https:\/\/doi.org\/10.1016\/j.jcss.2012.11.002","journal-title":"Journal of Computer and System Sciences"},{"key":"1755_CR34","doi-asserted-by":"publisher","unstructured":"Qiu, H., Qiu, M., Memmi, G., Ming, Z., & Liu, M. (2018). A dynamic scalable blockchain based communication architecture for IoT. In International Conference on Smart Blockchain,\u00a0159\u2013166. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-05764-0_17","DOI":"10.1007\/978-3-030-05764-0_17"},{"key":"1755_CR35","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1016\/j.future.2015.05.005","volume":"56","author":"H Zhao","year":"2016","unstructured":"Zhao, H., Chen, M., Qiu, M., Gai, K., & Liu, M. (2016). A novel pre-cache schema for high performance Android system. Future Generation Computer Systems, 56, 766\u2013772. https:\/\/doi.org\/10.1016\/j.future.2015.05.005","journal-title":"Future Generation Computer Systems"},{"issue":"4","key":"1755_CR36","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1016\/j.jpdc.2011.12.004","volume":"72","author":"X Tang","year":"2012","unstructured":"Tang, X., Li, K., Qiu, M., & Sha, E. H. M. (2012). A hierarchical reliability-driven scheduling algorithm in grid systems. Journal of Parallel and Distributed Computing, 72(4), 525\u2013535. https:\/\/doi.org\/10.1016\/j.jpdc.2011.12.004","journal-title":"Journal of Parallel and Distributed Computing"},{"key":"1755_CR37","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.sysarc.2016.05.003","volume":"72","author":"J Wang","year":"2017","unstructured":"Wang, J., Qiu, M., & Guo, B. (2017). Enabling real-time information service on telehealth system over cloud-based big data platform. Journal of Systems Architecture, 72, 69\u201379.","journal-title":"Journal of Systems Architecture"},{"issue":"4\u20135","key":"1755_CR38","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.sysarc.2012.12.003","volume":"59","author":"M Qiu","year":"2013","unstructured":"Qiu, M., Ming, Z., Li, J., Liu, J., Quan, G., & Zhu, Y. (2013). Informer homed routing fault tolerance mechanism for wireless sensor networks. Journal of Systems Architecture, 59(4\u20135), 260\u2013270. https:\/\/doi.org\/10.1016\/j.sysarc.2012.12.003","journal-title":"Journal of Systems Architecture"},{"key":"1755_CR39","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.357","author":"I Makarov","year":"2021","unstructured":"Makarov, I., Kiselev, D., Nikitinsky, N., & Subelj, L. (2021). Survey on graph embeddings and their applications to machine learning problems on graphs. PeerJ Computer Science. https:\/\/doi.org\/10.7717\/peerj-cs.357","journal-title":"PeerJ Computer Science"}],"container-title":["Journal of Signal Processing Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-022-01755-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11265-022-01755-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11265-022-01755-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T01:16:39Z","timestamp":1668561399000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11265-022-01755-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,7]]},"references-count":39,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["1755"],"URL":"https:\/\/doi.org\/10.1007\/s11265-022-01755-6","relation":{},"ISSN":["1939-8018","1939-8115"],"issn-type":[{"value":"1939-8018","type":"print"},{"value":"1939-8115","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,7]]},"assertion":[{"value":"24 October 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 March 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 March 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}