{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T19:10:06Z","timestamp":1751915406789,"version":"3.41.2"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030007751"},{"type":"electronic","value":"9783030007768"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-030-00776-8_19","type":"book-chapter","created":{"date-parts":[[2018,9,18]],"date-time":"2018-09-18T08:14:58Z","timestamp":1537258498000},"page":"201-211","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Intra-view and Inter-view Attention for Multi-view Network Embedding"],"prefix":"10.1007","author":[{"given":"Yueyang","family":"Wang","sequence":"first","affiliation":[]},{"given":"Liang","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Yueting","family":"Zhuang","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,19]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Backstrom, L., Leskovec, J.: Supervised random walks: predicting and recommending links in social networks. In: ACM International Conference on Web Search and Data Mining, pp. 635\u2013644 (2011)","DOI":"10.1145\/1935826.1935914"},{"issue":"3","key":"19_CR2","first-page":"115","volume":"16","author":"S Bhagat","year":"2012","unstructured":"Bhagat, S., Cormode, G., Muthukrishnan, S.: Node classification in social networks. Comput. Sci. 16(3), 115\u2013148 (2012)","journal-title":"Comput. Sci."},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Ding, C.H.Q., He, X., Zha, H., Gu, M., Simon, H.D.: A min-max cut algorithm for graph partitioning and data clustering. In: IEEE International Conference on Data Mining, pp. 107\u2013114 (2001)","DOI":"10.1109\/ICDM.2001.989507"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Elkahky, A.M., Song, Y., He, X.: A multi-view deep learning approach for cross domain user modeling in recommendation systems. In: International Conference on World Wide Web, pp. 278\u2013288 (2015)","DOI":"10.1145\/2736277.2741667"},{"key":"19_CR5","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1007\/978-3-642-04180-8_45","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"Derek Greene","year":"2009","unstructured":"Greene, D.: A matrix factorization approach for integrating multiple data views. In: European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 423\u2013438 (2009)"},{"key":"19_CR6","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, p. 855 (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"19_CR7","unstructured":"Hamilton, W., Ying, Z., Leskovec, J.: Inductive representation learning on large graphs. In: Advances in Neural Information Processing Systems, pp. 1024\u20131034 (2017)"},{"key":"19_CR8","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks (2016)"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Lau, J.H., Baldwin, T.: An empirical evaluation of doc2vec with practical insights into document embedding generation (2016)","DOI":"10.18653\/v1\/W16-1609"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Liu, J., Wang, C., Gao, J., Han, J.: Multi-view clustering via joint nonnegative matrix factorization (2013)","DOI":"10.1137\/1.9781611972832.28"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Luong, T., Pham, H., Manning, C.D.: Effective approaches to attention-based neural machine translation. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 1412\u20131421 (2015)","DOI":"10.18653\/v1\/D15-1166"},{"key":"19_CR12","doi-asserted-by":"crossref","unstructured":"Ma, G., et al.: Multi-view clustering with graph embedding for connectome analysis. In: ACM on Conference on Information and Knowledge Management, pp. 127\u2013136 (2017)","DOI":"10.1145\/3132847.3132909"},{"key":"19_CR13","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed representations of words and phrases and their compositionality. In: International Conference on Neural Information Processing Systems, pp. 3111\u20133119 (2013)"},{"key":"19_CR14","unstructured":"Mnih, A., Teh, Y.W.: A fast and simple algorithm for training neural probabilistic language models. In: International Conference on International Conference on Machine Learning, pp. 419\u2013426 (2012)"},{"key":"19_CR15","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Alrfou, R., Skiena, S.: DeepWalk: online learning of social representations, pp. 701\u2013710 (2014)","DOI":"10.1145\/2623330.2623732"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Qu, M., Tang, J., Shang, J., Ren, X., Zhang, M., Han, J.: An attention-based collaboration framework for multi-view network representation learning, pp. 1767\u20131776 (2017)","DOI":"10.1145\/3132847.3133021"},{"issue":"6088","key":"19_CR17","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323(6088), 399\u2013421 (1986)","journal-title":"Nature"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Shi, C., Zhang, Z., Luo, P., Yue, Y., Yue, Y., Wu, B.: Semantic path based personalized recommendation on weighted heterogeneous information networks. In: ACM International on Conference on Information and Knowledge Management, pp. 453\u2013462 (2015)","DOI":"10.1145\/2806416.2806528"},{"key":"19_CR19","unstructured":"Shi, Y., Han, F., He, X., Yang, C., Luo, J., Han, J.: mvn2vec: preservation and collaboration in multi-view network embedding (2018)"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Singh, A.P., Gordon, G.J.: Relational learning via collective matrix factorization. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 650\u2013658 (2008)","DOI":"10.21236\/ADA486804"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Sun, Y., Barber, R., Gupta, M., Aggarwal, C.C., Han, J.: Co-author relationship prediction in heterogeneous bibliographic networks. In: International Conference on Advances in Social Networks Analysis and Mining, pp. 121\u2013128 (2011)","DOI":"10.1109\/ASONAM.2011.112"},{"key":"19_CR22","doi-asserted-by":"crossref","unstructured":"Sun, Y., Han, J., Aggarwal, C.C., Chawla, N.V.: When will it happen?: relationship prediction in heterogeneous information networks, pp. 663\u2013672 (2012)","DOI":"10.1145\/2124295.2124373"},{"key":"19_CR23","doi-asserted-by":"crossref","unstructured":"Swami, A., Swami, A., Swami, A.: metapath2vec: scalable representation learning for heterogeneous networks. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 135\u2013144 (2017)","DOI":"10.1145\/3097983.3098036"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q.: LINE: large-scale information network embedding. In: International Conference on World Wide Web (2015)","DOI":"10.1145\/2736277.2741093"},{"key":"19_CR25","doi-asserted-by":"crossref","unstructured":"Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: ArnetMiner: extraction and mining of academic social networks. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 990\u2013998 (2008)","DOI":"10.1145\/1401890.1402008"},{"issue":"2","key":"19_CR26","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1007\/s10115-012-0555-0","volume":"36","author":"X Wang","year":"2013","unstructured":"Wang, X., Tang, L., Liu, H., Wang, L.: Learning with multi-resolution overlapping communities. Knowl. Inf. Syst. 36(2), 517\u2013535 (2013)","journal-title":"Knowl. Inf. Syst."},{"issue":"6","key":"19_CR27","doi-asserted-by":"publisher","first-page":"1438","DOI":"10.1109\/TSMCB.2009.2039566","volume":"40","author":"T Xia","year":"2010","unstructured":"Xia, T., Tao, D., Mei, T., Zhang, Y.: Multiview spectral embedding. IEEE Trans. Syst. Man Cybern. Part B 40(6), 1438\u20131446 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"},{"key":"19_CR28","doi-asserted-by":"crossref","unstructured":"Zhou, D., Burges, C.J.C.: Spectral clustering and transductive learning with multiple views. In: Proceedings of the Twenty-Fourth International Conference on Machine Learning, pp. 1159\u20131166 (2007)","DOI":"10.1145\/1273496.1273642"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing \u2013 PCM 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00776-8_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T18:28:52Z","timestamp":1751912932000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00776-8_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030007751","9783030007768"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00776-8_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"19 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PCM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim Conference on Multimedia","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hefei","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pcm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/pcm2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}