{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:57:39Z","timestamp":1760245059748},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,11,23]],"date-time":"2019-11-23T00:00:00Z","timestamp":1574467200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,23]],"date-time":"2019-11-23T00:00:00Z","timestamp":1574467200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s11280-019-00740-7","type":"journal-article","created":{"date-parts":[[2019,12,16]],"date-time":"2019-12-16T17:29:24Z","timestamp":1576517364000},"page":"1925-1944","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Extractive convolutional adversarial networks for network embedding"],"prefix":"10.1007","volume":"23","author":[{"given":"Xiaorui","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanghui","family":"Rao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoran","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fu Lee","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,23]]},"reference":[{"key":"740_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C. (ed.): Social Network Data Analytics. Springer (2011)","DOI":"10.1007\/978-1-4419-8462-3"},{"key":"740_CR2","unstructured":"Arjovsky, M., Chintala, S., Bottou, L.: Wasserstein generative adversarial networks. In: Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, pp 214\u2013223 (2017)"},{"key":"740_CR3","doi-asserted-by":"crossref","unstructured":"Belkin, M., Niyogi, P.: Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, December 3-8, 2001, Vancouver, British Columbia, Canada], pp 585\u2013591 (2001)","DOI":"10.7551\/mitpress\/1120.003.0080"},{"key":"740_CR4","doi-asserted-by":"crossref","unstructured":"Carterette, B.: Precision and recall. In: Encyclopedia of Database Systems. 2nd edn. Springer (2018)","DOI":"10.1007\/978-1-4614-8265-9_5050"},{"key":"740_CR5","doi-asserted-by":"crossref","unstructured":"Chen, R., Xie, H., Chen, J., Rao, Y., Zhao, Y., Wang, F.L.: Extractive adversarial networks for network embedding. In: Proceedings of the 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC), pp 162\u2013167 (2018)","DOI":"10.1109\/BESC.2018.8697264"},{"key":"740_CR6","unstructured":"Dai, Q., Li, Q., Tang, J., Wang, D.: Adversarial network embedding. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp 2167\u20132174 (2018)"},{"key":"740_CR7","first-page":"59:1","volume":"17","author":"Y Ganin","year":"2016","unstructured":"Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., Lempitsky, V.S.: Domain-adversarial training of neural networks. J. Mach. Learn. Res. 17, 59:1\u201359:35 (2016)","journal-title":"J. Mach. Learn. Res."},{"key":"740_CR8","unstructured":"Gao, S., Denoyer, L., Gallinari, P.: Temporal link prediction by integrating content and structure information. In: Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, pp 1169\u20131174 (2011)"},{"key":"740_CR9","unstructured":"Gao, H., Wang, Z., Ji, S.: Large-scale learnable graph convolutional networks. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, pp 1416\u20131424 (2018)"},{"key":"740_CR10","unstructured":"Guti\u00e9rrez-G\u00f3mez, L., Delvenne, J.: Unsupervised network embedding for graph visualization, clustering and classification. arXiv:1903.05980 (2019)"},{"key":"740_CR11","unstructured":"Huang, X., Li, J., Hu, X.: Label informed attributed network embedding. In: Proceedings of the 10th ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017, pp 731\u2013739 (2017)"},{"key":"740_CR12","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings (2017)"},{"issue":"6","key":"740_CR13","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1080\/08839514.2019.1583452","volume":"33","author":"V Kirincic","year":"2019","unstructured":"Kirincic, V., Ceperic, E., Vlahinic, S., Lerga, J.: Support vector machine state estimation. Appl. Artif. Intell. 33(6), 517\u2013530 (2019)","journal-title":"Appl.Artif.Intell."},{"key":"740_CR14","unstructured":"Kynk\u00e4\u00e4nniemi, T., Karras, T., Laine, S., Lehtinen, J., Aila, T.: Improved precision and recall metric for assessing generative models. arXiv:1904.06991 (2019)"},{"key":"740_CR15","unstructured":"Le, T.M.V., Lauw, H.W.: Probabilistic latent document network embedding. In: 2014 IEEE International Conference on Data Mining, ICDM 2014, Shenzhen, China, December 14-17, 2014, pp. 270\u2013279 (2014)"},{"key":"740_CR16","unstructured":"Lu, Q., Getoor, L.: Link-based classification. In: Proceedings of the 20th International Conference on Machine Learning, (ICML 2003), August 21-24, 2003, Washington, DC, USA, pp. 496\u2013503 (2003)"},{"key":"740_CR17","doi-asserted-by":"crossref","unstructured":"Malliaros, F.D., Vazirgiannis, M.: Clustering and community detection in directed networks: A survey. arXiv:1308.0971 (2013)","DOI":"10.1016\/j.physrep.2013.08.002"},{"key":"740_CR18","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: Online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u201914, New York, NY, USA - August 24 - 27, 2014, pp. 701\u2013710 (2014)"},{"key":"740_CR19","unstructured":"Radford, A., Metz, L., Chintala, S.: Unsupervised representation learning with deep convolutional generative adversarial networks. In: Proceedings of the 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings (2016)"},{"key":"740_CR20","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.patrec.2018.06.011","volume":"112","author":"Z Ran","year":"2018","unstructured":"Ran, Z., Wang, W., Hu, B.: On connections between r\u00e9nyi entropy principal component analysis, kernel learning and graph embedding. Pattern Recogn. Lett. 112, 125\u2013130 (2018)","journal-title":"PatternRecogn.Lett."},{"key":"740_CR21","first-page":"634","volume":"74","author":"H Rao","year":"2019","unstructured":"Rao, H., Shi, X., Rodrigue, A.K., Feng, J., Xia, Y., Elhoseny, M., Yuan, X., Gu, L.: Feature selection based on artificial bee colony and gradient boosting decision tree. Appl. Soft Comput. 74, 634\u2013642 (2019)","journal-title":"Appl.SoftComput."},{"key":"740_CR22","unstructured":"Ribeiro, B., Vieira, A., das Neves, J.C.: Supervised isomap with dissimilarity measures in embedding learning. In: Proceedings of the 13th Iberoamerican Congress on Pattern Recognition, Progress in Pattern Recognition, Image Analysis and Applications, CIARP 2008, Havana, Cuba, September 9-12, 2008. Proceedings, pp. 389\u2013396 (2008)"},{"key":"740_CR23","unstructured":"Tang, J., Qu, M.,Wang, M., Zhang, M., Yan, J., Mei, Q.: LINE: large-scale information network embedding. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, May 18-22, 2015, pp. 1067\u20131077 (2015)"},{"key":"740_CR24","unstructured":"Wakitani, S., Yamamoto, T., Ishimura, A.: Study on an adaptive GMDH-PID controller using adaptive moment estimation. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017, pp. 1587\u20131591 (2017)"},{"key":"740_CR25","doi-asserted-by":"crossref","unstructured":"Wang, X., Cui, P., Wang, J., Pei, J., Zhu, W., Yang, S.: Community preserving network embedding. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, pp. 203\u2013209 (2017)","DOI":"10.1609\/aaai.v31i1.10488"},{"key":"740_CR26","unstructured":"Wang, H., Wang, J., Wang, J., Zhao, M., Zhang, W., Zhang, F., Xie, X., Guo, M.: Graphgan: Graph representation learning with generative adversarial nets. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pp. 2508\u20132515 (2018)"},{"key":"740_CR27","doi-asserted-by":"crossref","unstructured":"Xue, L., Qian, T.: Speech analysis based on locally linear embedding(lle). In: Proceedings of the 6th International Conference on Natural Computation, ICNC 2010, Yantai, Shandong, China, 10-12 August 2010, pp. 2159\u20132162 (2010)","DOI":"10.1109\/ICNC.2010.5584263"},{"key":"740_CR28","unstructured":"Yang, T., Jin, R., Chi, Y., Zhu, S.: Combining link and content for community detection: a discriminative approach. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pp. 927\u2013936 (2009)"},{"issue":"2-3","key":"740_CR29","first-page":"160","volume":"21","author":"H Yin","year":"2008","unstructured":"Yin, H.: On multidimensional scaling and the embedding of self-organising maps. Neural Netw. 21(2-3), 160\u2013169 (2008)","journal-title":"NeuralNetw."},{"key":"740_CR30","unstructured":"Zhang, D., Wang, J., Zhao, X.: Estimating the uncertainty of average F1 scores. In: Proceedings of the 2015 International Conference on The Theory of Information Retrieval, ICTIR 2015, Northampton, Massachusetts, USA, September 27-30, 2015, pp. 317\u2013320 (2015)"},{"issue":"3","key":"740_CR31","first-page":"43:1","volume":"8","author":"S Zhang","year":"2017","unstructured":"Zhang, S., Li, X., Zong, M., Zhu, X., Cheng, D.: Learning k for knn classification. ACM TIST 8(3), 43:1\u201343:19 (2017)","journal-title":"ACMTIST"},{"key":"740_CR32","unstructured":"Zhang, Z., Yang, H., Bu, J., Zhou, S., Yu, P., Zhang, J., Ester, M., Wang, C.: ANRL: attributed network representation learning via deep neural networks. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, pp. 3155\u20133161 (2018)"},{"key":"740_CR33","unstructured":"Zhao, B., Sen, P., Getoor, L.: Entity and relationship labeling in affiliation networks. In: ICML Workshop on Statistical Network Analysis (2006)"}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00740-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11280-019-00740-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00740-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,28]],"date-time":"2024-07-28T18:27:40Z","timestamp":1722191260000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11280-019-00740-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,23]]},"references-count":33,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["740"],"URL":"https:\/\/doi.org\/10.1007\/s11280-019-00740-7","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,23]]},"assertion":[{"value":"26 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 August 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 November 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}