{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:05:17Z","timestamp":1750309517252,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Hejiang Gongshang University's 'Digital + Disciplinary Construction Project","award":["SZJ2022C004"],"award-info":[{"award-number":["SZJ2022C004"]}]},{"name":"Zhejiang Gongshang University's 2023 Provincial-level Teaching Platform School-Level Teaching Project","award":["1310XJ0521036"],"award-info":[{"award-number":["1310XJ0521036"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,18]]},"DOI":"10.1145\/3711129.3711294","type":"proceedings-article","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T12:51:16Z","timestamp":1740055876000},"page":"969-973","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Kunqu Opera popularity heat prediction analysis based on Spatio-Temporal Graph Convolution Neural Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0835-5722","authenticated-orcid":false,"given":"Ouyang","family":"Yi","sequence":"first","affiliation":[{"name":"School of Management and E-Business, Zhejiang Gongshang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3062-9174","authenticated-orcid":false,"given":"Duze","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Management and E-Business, Zhejiang Gongshang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3596-4328","authenticated-orcid":false,"given":"Jianru","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Management and E-Business, Zhejiang Gongshang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2761-5070","authenticated-orcid":false,"given":"Limei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Humanities and Communication, Zhejiang Gongshang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,2,20]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Proceedings of the IEEE 1st International Conference on Broadnets Networks (BroadNets\u201904)","author":"Atul Adya","year":"2004","unstructured":"Atul Adya, Paramvir Bahl, Jitendra Padhye, Alec Wolman, and Lidong Zhou. A multi-radio unification protocol for IEEE 802.11 wireless networks. In Proceedings of the IEEE 1st International Conference on Broadnets Networks (BroadNets\u201904) IEEE, Los Alamitos, CA, 2004, 210\u2013217."},{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-6091-332-7_37"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.culher.2023.05.003"},{"key":"e_1_3_3_1_4_2","volume-title":"Article 5 (February","author":"Vincenzo Lombardo","year":"2016","unstructured":"Vincenzo Lombardo, Antonio Pizzo, and Rossana Damiano. 2016. Safeguarding and Accessing Drama as Intangible Cultural Heritage. J. Comput. Cult. Herit. 9, 1, Article 5 (February 2016), 26 pages."},{"key":"e_1_3_3_1_5_2","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf T. N.","year":"2016","unstructured":"Kipf, T. N., Welling, M. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907, 2016."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"issue":"16","key":"e_1_3_3_1_7_2","first-page":"10063","article-title":"Virtual reality technology applied in digitalization of cultural heritage [J]. Cluster Computing: The Journal of Networks","volume":"22","author":"Donghui C","year":"2019","unstructured":"Donghui C, Guanfa L, Wensheng Z, et al. Virtual reality technology applied in digitalization of cultural heritage [J]. Cluster Computing: The Journal of Networks, Software Tools and Applications, 2019, 22 (16): 10063-10074.","journal-title":"Software Tools and Applications"},{"key":"e_1_3_3_1_8_2","volume-title":"Article 21 (October","author":"Woosik Lee","year":"2019","unstructured":"Woosik Lee and Dong-hoon Lee. 2019. Cultural Heritage and the Intelligent Internet of Things. J. Comput. Cult. Herit. 12, 3, Article 21 (October 2019), 14 pages."},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2024.102282"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127329"},{"key":"e_1_3_3_1_11_2","volume-title":"LaenNet: Learning robust GCNs by propagating labels. [J]. Neural networks: the official journal of the International Neural Network Society","author":"Chunxu Z","year":"2023","unstructured":"Chunxu Z, Ximing L, Hongbin P, et al. LaenNet: Learning robust GCNs by propagating labels. [J]. Neural networks: the official journal of the International Neural Network Society, 2023, 168652-664."},{"volume-title":"Sequence to sequence learning with neural networks. Advances in neural information processing systems","year":"2014","key":"e_1_3_3_1_12_2","unstructured":"SUTSKEVER I, VINYALS O, LE Q V. Sequence to sequence learning with neural networks. Advances in neural information processing systems, 2014, 2014(2):3104-3112."},{"volume-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting. arXiv preprint arXiv:1707.01926","year":"2017","key":"e_1_3_3_1_13_2","unstructured":"LI Y, YU R, SHAHABI C, et al. Diffusion convolutional recurrent neural network: Data-driven traffic forecasting. arXiv preprint arXiv:1707.01926, 2017."},{"key":"e_1_3_3_1_14_2","first-page":"22419","article-title":"Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting","volume":"34","year":"2021","unstructured":"WU H, XU J, WANG J, et al. Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting. Advances in Neural Information Processing Systems, 2021, 34: 22419-22430.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467330"},{"volume-title":"Learning the evolutionary and multi-scale graph structure for multivariate time series forecasting\/\/Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","year":"2022","key":"e_1_3_3_1_16_2","unstructured":"YE J, LIU Z, DU B, et al. Learning the evolutionary and multi-scale graph structure for multivariate time series forecasting\/\/Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022: 2296-2306."},{"key":"e_1_3_3_1_17_2","volume-title":"International Conference on Learning Representations (ICLR)","author":"Wang","year":"2024","unstructured":"Wang, Shiyu, Wu, Haixu, et al. TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting, International Conference on Learning Representations (ICLR), 2024."}],"event":{"name":"EITCE 2024: 2024 8th International Conference on Electronic Information Technology and Computer Engineering","acronym":"EITCE 2024","location":"Haikou Guangdong China"},"container-title":["Proceedings of the 2024 8th International Conference on Electronic Information Technology and Computer Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711129.3711294","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3711129.3711294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:03Z","timestamp":1750295883000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3711129.3711294"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,18]]},"references-count":17,"alternative-id":["10.1145\/3711129.3711294","10.1145\/3711129"],"URL":"https:\/\/doi.org\/10.1145\/3711129.3711294","relation":{},"subject":[],"published":{"date-parts":[[2024,10,18]]},"assertion":[{"value":"2025-02-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}