{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T21:06:24Z","timestamp":1761599184417,"version":"3.37.3"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,6,22]],"date-time":"2019-06-22T00:00:00Z","timestamp":1561161600000},"content-version":"vor","delay-in-days":21,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100006733","name":"Indiana University","doi-asserted-by":"publisher","award":["IU-Bridge research grant"],"award-info":[{"award-number":["IU-Bridge research grant"]}],"id":[{"id":"10.13039\/100006733","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Data Sci. Eng."],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1007\/s41019-019-0092-x","type":"journal-article","created":{"date-parts":[[2019,6,22]],"date-time":"2019-06-22T12:04:54Z","timestamp":1561205094000},"page":"119-131","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding"],"prefix":"10.1007","volume":"4","author":[{"given":"Vachik S.","family":"Dave","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baichuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pin-Yu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Al","family":"Hasan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,22]]},"reference":[{"issue":"5439","key":"92_CR1","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1126\/science.286.5439.509","volume":"286","author":"AL Barab\u00e1si","year":"1999","unstructured":"Barab\u00e1si AL, Albert R (1999) Emergence of scaling in random networks. Science 286(5439):509\u2013512","journal-title":"Science"},{"key":"92_CR2","unstructured":"Bojchevski A, G\u00fcnnemann S (2018) Deep gaussian embedding of graphs: unsupervised inductive learning via ranking. In: International conference on learning representations (ICLR)"},{"key":"92_CR3","doi-asserted-by":"crossref","unstructured":"Cao S, Lu W, Xu Q (2015) Grarep: Learning graph representations with global structural information. In: ACM International on conference on information and knowledge management, pp 891\u2013900","DOI":"10.1145\/2806416.2806512"},{"key":"92_CR4","doi-asserted-by":"crossref","unstructured":"Cao S, Lu W, Xu Q (2016) Deep neural networks for learning graph representations. In: AAAI, pp 1145\u20131152","DOI":"10.1609\/aaai.v30i1.10179"},{"key":"92_CR5","doi-asserted-by":"crossref","unstructured":"Chang S, Han W, Tang J, Qi GJ, Aggarwal CC, Huang TS (2015) Heterogeneous network embedding via deep architectures. In: International conference on knowledge discovery and data mining, pp 119\u2013128","DOI":"10.1145\/2783258.2783296"},{"key":"92_CR6","doi-asserted-by":"crossref","unstructured":"Dave V, Zhang B, Hasan MA, Jadda KA, Korayem M (2018) A combined representation learning approach for better job and skill recommendation. In: ACM conference on information and knowledge management","DOI":"10.1145\/3269206.3272023"},{"key":"92_CR7","unstructured":"Garc\u00eda-Dur\u00e1n A, Niepert M (2017) Learning graph representations with embedding propagation. In: NIPS, pp 5125\u20135136"},{"key":"92_CR8","unstructured":"Goyal P, Ferrara E (2017) Graph embedding techniques, applications, and performance: a survey. CoRR arXiv:1705.02801"},{"key":"92_CR9","doi-asserted-by":"crossref","unstructured":"Grover A, Leskovec J (2016) Node2vec: scalable feature learning for networks. In: ACM SIGKDD international conference on knowledge discovery and data mining, KDD \u201916, pp 855\u2013864","DOI":"10.1145\/2939672.2939754"},{"key":"92_CR10","first-page":"1024","volume":"30","author":"W Hamilton","year":"2017","unstructured":"Hamilton W, Ying Z, Leskovec J (2017) Inductive representation learning on large graphs. Adv Neural Inf Process Syst 30:1024\u20131034","journal-title":"Adv Neural Inf Process Syst"},{"issue":"3","key":"92_CR11","first-page":"52","volume":"40","author":"WL Hamilton","year":"2017","unstructured":"Hamilton WL, Ying R, Leskovec J (2017) Representation learning on graphs: methods and applications. IEEE Data Eng Bull 40(3):52\u201374","journal-title":"IEEE Data Eng Bull"},{"key":"92_CR12","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1137\/1.9781611974973.71","volume-title":"Proceedings of the 2017 SIAM International Conference on Data Mining","author":"Xiao Huang","year":"2017","unstructured":"Huang X, Li J, Hu X (2017) Accelerated attributed network embedding. In: SIAM international conference on data mining, pp 633\u2013641"},{"key":"92_CR13","doi-asserted-by":"crossref","unstructured":"Huang X, Li J, Hu X (2017) Label informed attributed network embedding. In: ACM international conference on web search and data mining, pp 731\u2013739","DOI":"10.1145\/3018661.3018667"},{"key":"92_CR14","unstructured":"Pan S, Wu J, Zhu X, Zhang C, Wang Y (2016) Tri-party deep network representation. In: International joint conference on artificial intelligence, pp 1895\u20131901"},{"key":"92_CR15","doi-asserted-by":"crossref","unstructured":"Perozzi B, Al-Rfou R, Skiena S (2014) Deepwalk: online learning of social representations. In: ACM SIGKDD international conference on knowledge discovery and data mining, KDD \u201914, pp 701\u2013710","DOI":"10.1145\/2623330.2623732"},{"key":"92_CR16","unstructured":"Rendle S, Freudenthaler C, Gantner Z, Schmidt-Thieme L (2009) Bpr: Bayesian personalized ranking from implicit feedback. In: Conference on uncertainty in artificial intelligence, UAI \u201909, pp 452\u2013461"},{"key":"92_CR17","doi-asserted-by":"crossref","unstructured":"Tang J, Qu M, Mei Q (2015) Pte: Predictive text embedding through large-scale heterogeneous text networks. In: SIGKDD, pp 1165\u20131174","DOI":"10.1145\/2783258.2783307"},{"key":"92_CR18","doi-asserted-by":"crossref","unstructured":"Tang J, Qu M, Wang M, Zhang M, Yan J, Mei Q (2015) Line: large-scale information network embedding. In: International conference on world wide web, WWW \u201915, pp 1067\u20131077","DOI":"10.1145\/2736277.2741093"},{"issue":"16","key":"92_CR19","doi-asserted-by":"publisher","first-page":"4165","DOI":"10.1016\/j.physa.2011.12.021","volume":"391","author":"AL Traud","year":"2012","unstructured":"Traud AL, Mucha PJ, Porter MA (2012) Social structure of facebook networks. Physica A: Stat Mech Appl 391(16):4165\u20134180","journal-title":"Physica A: Stat Mech Appl"},{"key":"92_CR20","unstructured":"Tu C, Zhang W, Liu Z, Sun M (2016) Max-margin deepwalk: discriminative learning of network representation. In: IJCAI, pp 3889\u20133895"},{"key":"92_CR21","doi-asserted-by":"crossref","unstructured":"Wang D, Cui P, Zhu W (2016) Structural deep network embedding. In: SIGKDD international conference on knowledge discovery and data mining, KDD \u201916, pp 1225\u20131234","DOI":"10.1145\/2939672.2939753"},{"key":"92_CR22","doi-asserted-by":"crossref","unstructured":"Wang X, Cui P, Wang J, Pei J, Zhu W, Yang S (2017) Community preserving network embedding. In: AAAI conference on artificial intelligence","DOI":"10.1609\/aaai.v31i1.10488"},{"key":"92_CR23","unstructured":"Yang C, Liu Z, Zhao D, Sun M, Chang EY (2015) Network representation learning with rich text information. In: International conference on artificial intelligence, IJCAI\u201915, pp 2111\u20132117"},{"key":"92_CR24","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511810114","volume-title":"Data mining and analysis: fundamental concepts and algorithms","author":"MJ Zaki","year":"2014","unstructured":"Zaki MJ, Meira W Jr (2014) Data mining and analysis: fundamental concepts and algorithms. Cambridge University Press, Cambridge"},{"key":"92_CR25","doi-asserted-by":"crossref","unstructured":"Zhang B, Al\u00a0Hasan M (2017) Name disambiguation in anonymized graphs using network embedding. In: ACM on conference on information and knowledge management, pp 1239\u20131248","DOI":"10.1145\/3132847.3132873"},{"key":"92_CR26","doi-asserted-by":"crossref","unstructured":"Zhang D, Yin J, Zhu X, Zhang C (2017) User profile preserving social network embedding. In: International joint conference on artificial intelligence, IJCAI-17, pp 3378\u20133384","DOI":"10.24963\/ijcai.2017\/472"}],"container-title":["Data Science and Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-019-0092-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s41019-019-0092-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s41019-019-0092-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,21]],"date-time":"2022-09-21T16:07:19Z","timestamp":1663776439000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s41019-019-0092-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":26,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,6]]}},"alternative-id":["92"],"URL":"https:\/\/doi.org\/10.1007\/s41019-019-0092-x","relation":{},"ISSN":["2364-1185","2364-1541"],"issn-type":[{"type":"print","value":"2364-1185"},{"type":"electronic","value":"2364-1541"}],"subject":[],"published":{"date-parts":[[2019,6]]},"assertion":[{"value":"24 October 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 June 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 June 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}