{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T20:04:53Z","timestamp":1743105893455,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":16,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819729654"},{"type":"electronic","value":"9789819729661"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-2966-1_1","type":"book-chapter","created":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T12:01:57Z","timestamp":1714392117000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-encoders"],"prefix":"10.1007","author":[{"given":"Bingchen","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihua","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongmei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chongming","family":"Bao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,4,30]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","unstructured":"Xu, C., Tao, D., Xu, C.: A survey on multi-view learning (2013). https:\/\/doi.org\/10.48550\/arXiv.1304.5634","DOI":"10.48550\/arXiv.1304.5634"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Nie, F., Li, J., Li, X.: Self-weighted multiview clustering with multiple graphs. In: IJCAI, pp. 2564\u20132570. Melbourne (2017)","DOI":"10.24963\/ijcai.2017\/357"},{"key":"1_CR3","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1109\/TNN.2008.2005605","volume":"20","author":"F Scarselli","year":"2009","unstructured":"Scarselli, F., Gori, M., Tsoi, A.C., Hagenbuchner, M., Monfardini, G.: The graph neural network model. IEEE Trans. Neural Netw. 20, 61 (2009)","journal-title":"IEEE Trans. Neural Netw."},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.-A.: Extracting and composing robust features with denoising autoencoders. In: Proceedings of the 25th International Conference on Machine learning, pp. 1096\u20131103. Finland (2008)","DOI":"10.1145\/1390156.1390294"},{"key":"1_CR5","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks (2016)"},{"key":"1_CR6","unstructured":"Kipf, T.N., Welling, M.: Variational Graph Auto-encoders (2016)"},{"key":"1_CR7","unstructured":"Wang, W., Arora, R., Livescu, K., Bilmes, J.: On deep multi-view representation learning. In: International Conference on Machine Learning, pp. 1083\u20131092. PMLR (2015)"},{"key":"1_CR8","unstructured":"Tiao, L., Elinas, P., Nguyen, H., Bonilla, E.V.: Variational graph convolutional networks. In: Proceedings of the Graph Representation Learning Workshop (2016)"},{"key":"1_CR9","doi-asserted-by":"publisher","unstructured":"Yang, X., et al.: Cluster-guided contrastive graph clustering network (2023). https:\/\/doi.org\/10.48550\/arXiv.2301.01098","DOI":"10.48550\/arXiv.2301.01098"},{"key":"1_CR10","unstructured":"Xie, J., Girshick, R., Farhadi, A.: Unsupervised deep embedding for clustering analysis. In: International Conference on Machine Learning, pp. 478\u2013487. PMLR, Hawai (2016)"},{"key":"1_CR11","unstructured":"Li, X., Zhang, H., Zhang, R.: Adaptive graph auto-encoder for general data clustering (2020)"},{"key":"1_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"776","DOI":"10.1007\/978-3-030-58621-8_45","volume-title":"Computer Vision \u2013 ECCV 2020","author":"Y Tian","year":"2020","unstructured":"Tian, Y., Krishnan, D., Isola, P.: Contrastive multiview coding. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12356, pp. 776\u2013794. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58621-8_45"},{"key":"1_CR13","doi-asserted-by":"publisher","unstructured":"Tsai, Y.-H.H., et al.: Self-supervised learning from a multi-view perspective. https:\/\/doi.org\/10.48550\/arXiv.2006.05576","DOI":"10.48550\/arXiv.2006.05576"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Ke, G., Hong, Z., Zeng, Z., Liu, Z., Sun, Y., Xie, Y.: CONAN: contrastive fusion networks for multi-view clustering. In: 2021 IEEE International Conference on Big Data (Big Data), pp. 653\u2013660. IEEE, Orlando (2020)","DOI":"10.1109\/BigData52589.2021.9671851"},{"key":"1_CR15","unstructured":"Xia, W., Gao, Q., Yang, M., Gao, X.: Self-supervised contrastive attributed graph clustering (2021)"},{"key":"1_CR16","doi-asserted-by":"crossref","unstructured":"Zhao, H., Yang, X., Wang, Z., Yang, E., Deng, C.: Graph debiased contrastive learning with joint representation clustering. In: International Joint Conference on Artificial Intelligence. Montreal (2021)","DOI":"10.24963\/ijcai.2021\/473"}],"container-title":["Lecture Notes in Computer Science","Spatial Data and Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-2966-1_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,29]],"date-time":"2024-04-29T12:03:45Z","timestamp":1714392225000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-2966-1_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819729654","9789819729661"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-2966-1_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"30 April 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SpatialDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Spatial Data and Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanjing","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 April 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"spatialdi2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/spatialdi2024.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}