{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T22:18:20Z","timestamp":1743027500998,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031212437"},{"type":"electronic","value":"9783031212444"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-21244-4_15","type":"book-chapter","created":{"date-parts":[[2022,11,10]],"date-time":"2022-11-10T20:06:23Z","timestamp":1668110783000},"page":"203-216","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-label Feature Extraction With Distance-Based Graph Attention Network"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5924-0848","authenticated-orcid":false,"given":"Yue","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6619-9011","authenticated-orcid":false,"given":"Kun","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7691-1933","authenticated-orcid":false,"given":"Guojie","family":"Song","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3290-1036","authenticated-orcid":false,"given":"Fan","family":"Min","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,11]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","unstructured":"Cunningham, P.: Dimension reduction. In: Cord, M., Cunningham, P. (eds.)Machine Learning Techniques for Multimedia, pp. 91\u2013112. Springer, Berlin (2008). https:\/\/doi.org\/10.1007\/978-3-540-75171-7_4","DOI":"10.1007\/978-3-540-75171-7_4"},{"issue":"4","key":"15_CR2","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1137\/S0895479896305696","volume":"21","author":"L De Lathauwer","year":"2000","unstructured":"De Lathauwer, L., De Moor, B., Vandewalle, J.: A multilinear singular value decomposition. SIAM J. Matrix Anal. Appl. 21(4), 1253\u20131278 (2000)","journal-title":"SIAM J. Matrix Anal. Appl."},{"issue":"6","key":"15_CR3","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1002\/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9","volume":"41","author":"S Deerwester","year":"1990","unstructured":"Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K., Harshman, R.: Indexing by latent semantic analysis. J. Am. Soc. Inf. Sci. 41(6), 391\u2013407 (1990)","journal-title":"J. Am. Soc. Inf. Sci."},{"key":"15_CR4","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J.: Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7, 1\u201330 (2006)","journal-title":"J. Mach. Learn. Res."},{"key":"15_CR5","unstructured":"Fodor, I.K.: A survey of dimension reduction techniques. Technical report, Lawrence Livermore National Lab., CA (US) (2002)"},{"key":"15_CR6","doi-asserted-by":"publisher","unstructured":"Guyon, I., Gunn, S., Nikravesh, M., Zadeh, L.A.: Feature Extraction: Foundations And Applications, STUDFUZZ, vol. 207. Springer (2008). https:\/\/doi.org\/10.1007\/978-3-540-35488-8","DOI":"10.1007\/978-3-540-35488-8"},{"key":"15_CR7","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1016\/j.patrec.2018.08.021","volume":"112","author":"R Huang","year":"2018","unstructured":"Huang, R., Jiang, W., Sun, G.: Manifold-based constraint laplacian score for multi-label feature selection. Patt. Recogn. Lett. 112, 346\u2013352 (2018)","journal-title":"Patt. Recogn. Lett."},{"issue":"4\u20135","key":"15_CR8","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1016\/S0893-6080(00)00026-5","volume":"13","author":"A Hyv\u00e4rinen","year":"2000","unstructured":"Hyv\u00e4rinen, A., Oja, E.: Independent component analysis: algorithms and applications. Neural Networks 13(4\u20135), 411\u2013430 (2000)","journal-title":"Neural Networks"},{"key":"15_CR9","doi-asserted-by":"publisher","unstructured":"Izenman, A.J.: Linear discriminant analysis. In: Modern Multivariate Statistical Techniques, pp. 237\u2013280. Springer, New York (2013). https:\/\/doi.org\/10.1007\/978-0-387-78189-1_8","DOI":"10.1007\/978-0-387-78189-1_8"},{"key":"15_CR10","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: ICLR (Poster) (2016)"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Nixon, M., Aguado, A.: Feature Extraction and Image Processing for Computer Vision. Academic Press (2019)","DOI":"10.1016\/B978-0-12-814976-8.00003-8"},{"issue":"1","key":"15_CR12","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.: The graph neural network model. IEEE Trans. Neural Networks 20(1), 61\u201380 (2008)","journal-title":"IEEE Trans. Neural Networks"},{"key":"15_CR13","doi-asserted-by":"publisher","unstructured":"Sch\u00f6lkopf, B., Smola, A., M\u00fcller, K.R.: Kernel principal component analysis. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds.) International Conference on Artificial Neural Networks. LNCS, vol. 1327, pp. 583\u2013588. Springer,Berlin (1997). https:\/\/doi.org\/10.1007\/BFb0020217","DOI":"10.1007\/BFb0020217"},{"issue":"1","key":"15_CR14","first-page":"194","volume":"33","author":"L Sun","year":"2010","unstructured":"Sun, L., Ji, S., Ye, J.: Canonical correlation analysis for multilabel classification: a least-squares formulation, extensions, and analysis. IEEE Trans. Patt. Anal. Mach. Intell. 33(1), 194\u2013200 (2010)","journal-title":"IEEE Trans. Patt. Anal. Mach. Intell."},{"key":"15_CR15","doi-asserted-by":"publisher","unstructured":"Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining multi-label data. In: Maimon, O., Rokach, L. (eds.) Data Mining and Knowledge Discovery Handbook, pp. 667\u2013685. Springer, Boston (2009). https:\/\/doi.org\/10.1007\/978-0-387-09823-4_34","DOI":"10.1007\/978-0-387-09823-4_34"},{"key":"15_CR16","unstructured":"Veli\u010dkovi\u0107, P., Cucurull, G., Casanova, A., Romero, A., Li\u00f2, P., Bengio, Y.: Graph attention networks. In: International Conference on Learning Representations (2018)"},{"key":"15_CR17","doi-asserted-by":"publisher","unstructured":"Wang, H., Ding, C., Huang, H.: Multi-label linear discriminant analysis. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) European Conference on Computer Vision. LNIP, vol. 6316, pp. 126\u2013139. Springer, Berlin (2010). https:\/\/doi.org\/10.1007\/978-3-642-15567-3_10","DOI":"10.1007\/978-3-642-15567-3_10"},{"issue":"1\u20133","key":"15_CR18","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","volume":"2","author":"S Wold","year":"1987","unstructured":"Wold, S., Esbensen, K., Geladi, P.: Principal component analysis. Chemometrics Intell. Lab. Syst. 2(1\u20133), 37\u201352 (1987)","journal-title":"Chemometrics Intell. Lab. Syst."},{"key":"15_CR19","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.neucom.2017.05.008","volume":"275","author":"J Xu","year":"2018","unstructured":"Xu, J.: A weighted linear discriminant analysis framework for multi-label feature extraction. Neurocomputing 275, 107\u2013120 (2018)","journal-title":"Neurocomputing"},{"key":"15_CR20","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.knosys.2016.01.032","volume":"98","author":"J Xu","year":"2016","unstructured":"Xu, J., Liu, J., Yin, J., Sun, C.: A multi-label feature extraction algorithm via maximizing feature variance and feature-label dependence simultaneously. Knowl. Based Syst. 98, 172\u2013184 (2016)","journal-title":"Knowl. Based Syst."},{"key":"15_CR21","doi-asserted-by":"crossref","unstructured":"Yu, K., Yu, S., Tresp, V.: Multi-label informed latent semantic indexing. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 258\u2013265 (2005)","DOI":"10.1145\/1076034.1076080"},{"key":"15_CR22","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.patcog.2019.06.003","volume":"95","author":"J Zhang","year":"2019","unstructured":"Zhang, J., Luo, Z., Li, C., Zhou, C., Li, S.: Manifold regularized discriminative feature selection for multi-label learning. Pattern Recogn. 95, 136\u2013150 (2019)","journal-title":"Pattern Recogn."},{"issue":"8","key":"15_CR23","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1109\/TKDE.2013.39","volume":"26","author":"ML Zhang","year":"2013","unstructured":"Zhang, M.L., Zhou, Z.H.: A review on multi-label learning algorithms. IEEE Trans. Knowl. Data Eng. 26(8), 1819\u20131837 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"15_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1839490.1839495","volume":"4","author":"Y Zhang","year":"2010","unstructured":"Zhang, Y., Zhou, Z.H.: Multilabel dimensionality reduction via dependence maximization. TKDD 4(3), 1\u201321 (2010)","journal-title":"TKDD"}],"container-title":["Lecture Notes in Computer Science","Rough Sets"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21244-4_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T17:06:02Z","timestamp":1709831162000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21244-4_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031212437","9783031212444"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21244-4_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"11 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IJCRS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Rough Sets","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Suzhou","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 November 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ijcrs2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.ijcrs2022.cn\/","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":"Easy chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42","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":"28","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":"67% - 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":"2","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)"}}]}}