{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:32:13Z","timestamp":1770273133288,"version":"3.49.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030821357","type":"print"},{"value":"9783030821364","type":"electronic"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-82136-4_3","type":"book-chapter","created":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T23:05:05Z","timestamp":1628291105000},"page":"27-39","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Clustering Massive-Categories and Complex Documents via Graph Convolutional Network"],"prefix":"10.1007","author":[{"given":"Qingchao","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengkui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Chu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Shan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isfaque Al Kaderi","family":"Tuhin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,8,7]]},"reference":[{"key":"3_CR1","doi-asserted-by":"publisher","unstructured":"Aggarwal, C.C., Zhai, C.: A survey of text clustering algorithms. In: Mining Text Data, pp. 77\u2013128. Springer, Boston (2012). https:\/\/doi.org\/10.1007\/978-1-4614-3223-4_4","DOI":"10.1007\/978-1-4614-3223-4_4"},{"key":"3_CR2","doi-asserted-by":"crossref","unstructured":"Ali, I., Melton, A.: Semantic-based text document clustering using cognitive semantic learning and graph theory. In: ICSC, pp. 243\u2013247. IEEE (2018)","DOI":"10.1109\/ICSC.2018.00042"},{"issue":"4","key":"3_CR3","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1007\/s10791-008-9066-8","volume":"12","author":"E Amig\u00f3","year":"2009","unstructured":"Amig\u00f3, E., Gonzalo, J., Artiles, J., Verdejo, F.: A comparison of extrinsic clustering evaluation metrics based on formal constraints. Inf. Retrieval 12(4), 461\u2013486 (2009)","journal-title":"Inf. Retrieval"},{"key":"3_CR4","doi-asserted-by":"publisher","unstructured":"Berkhin, P.: A survey of clustering data mining techniques. In: Grouping Multidimensional Data, pp. 25\u201371. Springer, Berlin (2006). https:\/\/doi.org\/10.1007\/3-540-28349-8_2","DOI":"10.1007\/3-540-28349-8_2"},{"key":"3_CR5","unstructured":"Bohm, C., Railing, K., Kriegel, H.P., Kroger, P.: Density connected clustering with local subspace preferences. In: ICDM 2004, pp. 27\u201334. IEEE (2004)"},{"issue":"8","key":"3_CR6","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1109\/34.400568","volume":"17","author":"Y Cheng","year":"1995","unstructured":"Cheng, Y.: Mean shift, mode seeking, and clustering. IEEE Trans. Pattern Anal. Mach. Intell. 17(8), 790\u2013799 (1995)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"1","key":"3_CR7","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/S0169-023X(02)00138-6","volume":"44","author":"M Dash","year":"2003","unstructured":"Dash, M., Liu, H., Scheuermann, P., Tan, K.L.: Fast hierarchical clustering and its validation. Data Knowl. Eng. 44(1), 109\u2013138 (2003)","journal-title":"Data Knowl. Eng."},{"key":"3_CR8","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.neucom.2020.12.094","volume":"433","author":"B Diallo","year":"2021","unstructured":"Diallo, B., Hu, J., Li, T., et al.: Deep embedding clustering based on contractive autoencoder. Neurocomputing 433, 96\u2013107 (2021)","journal-title":"Neurocomputing"},{"key":"3_CR9","unstructured":"Hu, W., Miyato, T., Tokui, S., et al.: Learning discrete representations via information maximizing self-augmented training. In: ICML, pp. 1558\u20131567 (2017)"},{"key":"3_CR10","unstructured":"Joulin, A., Grave, E., Bojanowski, P., et al.: Fasttext. zip: compressing text classification models. arXiv:1612.03651 (2016)"},{"issue":"6191","key":"3_CR11","doi-asserted-by":"publisher","first-page":"1492","DOI":"10.1126\/science.1242072","volume":"344","author":"A Rodriguez","year":"2014","unstructured":"Rodriguez, A., Laio, A.: Clustering by fast search and find of density peaks. Science 344(6191), 1492\u20131496 (2014)","journal-title":"Science"},{"issue":"4","key":"3_CR12","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Von Luxburg","year":"2007","unstructured":"Von Luxburg, U.: A tutorial on spectral clustering. Stat. Comput. 17(4), 395\u2013416 (2007)","journal-title":"Stat. Comput."},{"key":"3_CR13","first-page":"109","volume":"168","author":"X Wang","year":"2019","unstructured":"Wang, X., Peng, D., Hu, P., et al.: Adversarial correlated autoencoder for unsupervised multi-view representation learning. KBS 168, 109\u2013120 (2019)","journal-title":"KBS"},{"key":"3_CR14","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zheng, L., Li, Y., Wang, S.: Linkage based face clustering via graph convolution network. In: CVPR, pp. 1117\u20131125 (2019)","DOI":"10.1109\/CVPR.2019.00121"},{"key":"3_CR15","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.neunet.2016.12.008","volume":"88","author":"J Xu","year":"2017","unstructured":"Xu, J., Xu, B., Wang, P., et al.: Self-taught convolutional neural networks for short text clustering. Neural Netw. 88, 22\u201331 (2017)","journal-title":"Neural Netw."},{"issue":"3","key":"3_CR16","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TNN.2005.845141","volume":"16","author":"R Xu","year":"2005","unstructured":"Xu, R., Wunsch, D.: Survey of clustering algorithms. IEEE Trans. Neural Netw. 16(3), 645\u2013678 (2005)","journal-title":"IEEE Trans. Neural Netw."},{"key":"3_CR17","doi-asserted-by":"crossref","unstructured":"Yang, L., Chen, D., Zhan, X., et al.: Learning to cluster faces via confidence and connectivity estimation. In: CVPR, pp. 13369\u201313378 (2020)","DOI":"10.1109\/CVPR42600.2020.01338"},{"key":"3_CR18","doi-asserted-by":"crossref","unstructured":"Yang, L., Zhan, X., Chen, D., et al.: Learning to cluster faces on an affinity graph. In: CVPR, pp. 2298\u20132306 (2019)","DOI":"10.1109\/CVPR.2019.00240"},{"key":"3_CR19","doi-asserted-by":"crossref","unstructured":"Yang, L., Cheung, N.M., et al.: Deep clustering by gaussian mixture variational autoencoders with graph embedding. In: ICCV, pp. 6440\u20136449 (2019)","DOI":"10.1109\/ICCV.2019.00654"},{"key":"3_CR20","doi-asserted-by":"publisher","first-page":"7370","DOI":"10.1609\/aaai.v33i01.33017370","volume":"33","author":"L Yao","year":"2019","unstructured":"Yao, L., Mao, C., Luo, Y.: Graph convolutional networks for text classification. AAAI 33, 7370\u20137377 (2019)","journal-title":"AAAI"},{"key":"3_CR21","unstructured":"Zhang, D., Sun, Y., Eriksson, B., Balzano, L.: Deep unsupervised clustering using mixture of autoencoders. arXiv preprint arXiv:1712.07788 (2017)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-82136-4_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,6]],"date-time":"2021-08-06T23:06:12Z","timestamp":1628291172000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-82136-4_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030821357","9783030821364"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-82136-4_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"7 August 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 August 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 August 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cloud-conf.net\/ksem21\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"492","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"164","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}