{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T12:00:59Z","timestamp":1726056059547},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030323875"},{"type":"electronic","value":"9783030323882"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-32388-2_10","type":"book-chapter","created":{"date-parts":[[2019,10,27]],"date-time":"2019-10-27T06:04:40Z","timestamp":1572156280000},"page":"109-120","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Noise Reduction in Network Embedding"],"prefix":"10.1007","author":[{"given":"Cong","family":"Li","sequence":"first","affiliation":[]},{"given":"Donghai","family":"Guan","sequence":"additional","affiliation":[]},{"given":"Zhiyuan","family":"Cui","sequence":"additional","affiliation":[]},{"given":"Weiwei","family":"Yuan","sequence":"additional","affiliation":[]},{"given":"Asad Masood","family":"Khattak","sequence":"additional","affiliation":[]},{"given":"Muhammad","family":"Fahim","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,10,28]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"1616","DOI":"10.1109\/TKDE.2018.2807452","volume":"30","author":"HY Cai","year":"2018","unstructured":"Cai, H.Y., Zheng, V.W., Chang, K.: A comprehensive survey of graph embedding: problems, techniques and applications. IEEE Trans. Knowl. Data Eng. 30, 1616\u20131637 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10_CR2","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional network. In: 5th International Conference on Learning Representations (2017)"},{"key":"10_CR3","doi-asserted-by":"crossref","unstructured":"Huang, X., Li, J., Hu, X.: Label informed attributed network embedding. In: Tenth ACM International Conference on Web Search and Data Mining. ACM (2017)","DOI":"10.1145\/3018661.3018667"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Li, Z., Fang, X., Sheng, O.R.L.: A survey of link recommendation for social networks: methods, theoretical foundations, and future research directions. Social Science Electronic Publishing (2015)","DOI":"10.2139\/ssrn.2682561"},{"key":"10_CR5","doi-asserted-by":"publisher","first-page":"2691","DOI":"10.1016\/j.physleta.2017.06.018","volume":"381","author":"XK Zhang","year":"2017","unstructured":"Zhang, X.K., Ren, J., Song, C., et al.: Label propagation algorithm for community detection based on node importance and label influence. Phys. Lett. A 381, 2691\u20132698 (2017). \n                    https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0375960117305868","journal-title":"Phys. Lett. A"},{"issue":"1","key":"10_CR6","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1109\/TKDE.2007.190672","volume":"20","author":"F Wang","year":"2007","unstructured":"Wang, F., Zhang, C.: Label propagation through linear neighborhoods. IEEE Trans. Knowl. Data Eng. 20(1), 55\u201367 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Ahmed, A., Shervashidze, N., Narayanamurthy, S., et al.: Distributed large-scale natural graph factorization (2013)","DOI":"10.1145\/2488388.2488393"},{"key":"10_CR8","unstructured":"Peng, C., Xiao, W., Jian, P., et al.: A survey on network embedding. IEEE Trans. Knowl. Data Eng. 1 (2018)"},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: DeepWalk: online learning of social representations. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"10_CR10","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: scalable feature learning for networks. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"10_CR11","unstructured":"Mikolov, T., Chen, K., Corrado, G., et al.: Efficient estimation of word representations in vector space. Computer Science (2013)"},{"key":"10_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/978-3-319-57529-2_15","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"S Yuan","year":"2017","unstructured":"Yuan, S., Wu, X., Xiang, Y.: SNE: signed network embedding. In: Kim, J., Shim, K., Cao, L., Lee, J.-G., Lin, X., Moon, Y.-S. (eds.) PAKDD 2017. LNCS (LNAI), vol. 10235, pp. 183\u2013195. Springer, Cham (2017). \n                    https:\/\/doi.org\/10.1007\/978-3-319-57529-2_15"},{"key":"10_CR13","unstructured":"Cai, H., Zheng, V.W., Chang, C.C.: Active learning for graph embedding (2017)"},{"issue":"5","key":"10_CR14","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1109\/TNNLS.2013.2292894","volume":"25","author":"B Frenay","year":"2014","unstructured":"Frenay, B., Verleysen, M.: Classification in the presence of label noise: a survey. IEEE Trans. Neural Netw. Learn. Syst. 25(5), 845\u2013869 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Chen, K., Guan, D., Yuan, W., et al.: A novel feature selection-based sequential ensemble learning method for class noise detection in high-dimensional data. In: International Conference on Advanced Data Mining and Applications (2018)","DOI":"10.1007\/978-3-030-05090-0_5"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Wang, S., Aggarwal, C., Tang, J., et al.: Attributed signed network embedding. In: CIKM 2017 (2017)","DOI":"10.1145\/3132847.3132905"},{"issue":"1","key":"10_CR17","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.inffus.2004.04.008","volume":"6","author":"D Ruta","year":"2005","unstructured":"Ruta, D., Gabrys, B.: Classifier selection for majority voting. Inf. Fusion 6(1), 63\u201381 (2005)","journal-title":"Inf. Fusion"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Machine Learning and Intelligent Communications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-32388-2_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,27]],"date-time":"2019-10-27T06:05:34Z","timestamp":1572156334000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-32388-2_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030323875","9783030323882"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-32388-2_10","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"28 October 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MLICOM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Machine Learning and Intelligent Communications","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mlicom2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/mlicom.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}