{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T21:41:48Z","timestamp":1729633308909,"version":"3.28.0"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,12,1]],"date-time":"2019-12-01T00:00:00Z","timestamp":1575158400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1109\/bigdata47090.2019.9006118","type":"proceedings-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T06:05:34Z","timestamp":1582610734000},"page":"1928-1937","source":"Crossref","is-referenced-by-count":2,"title":["Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections"],"prefix":"10.1109","author":[{"given":"Baoxu","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaewon","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tim","family":"Weninger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"How","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Convolutional 2d knowledge graph embeddings","author":"dettmers","year":"2017","journal-title":"arXiv preprint arXiv 1707 01280"},{"key":"ref38","first-page":"1236","article-title":"Proje: Embedding projection for knowledge graph completion","author":"shi","year":"2017","journal-title":"AAAI"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68288-4_18"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330851"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939751"},{"key":"ref37","first-page":"2181","article-title":"Learning entity and relation embeddings for knowledge graph completion","author":"lin","year":"2015","journal-title":"AAAI"},{"key":"ref36","first-page":"2787","article-title":"Translating Embeddings for Modeling Multi-relational Data","author":"bordes","year":"2013","journal-title":"NeurIPS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622603"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/270"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2819980"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11535","article-title":"Open-world knowledge graph completion","author":"shi","year":"2018","journal-title":"Thirty-Second AAAI Conference on Artificial Intelligence"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/467"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref13","article-title":"Attributed social network embedding","author":"liao","year":"2017","journal-title":"arXiv preprint arXiv 1705 04969"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339723"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/544"},{"key":"ref17","article-title":"Representation learning on graphs: Methods and applications","author":"hamilton","year":"2017","journal-title":"arXiv preprint arXiv 1709 05584"},{"key":"ref18","first-page":"12","article-title":"Tri-party deep network representation","volume":"11","author":"pan","year":"2016","journal-title":"Network"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"ref28","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"NeurIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/asi.20591"},{"key":"ref27","first-page":"505","article-title":"Nemo: Next career move prediction with contextual embedding","author":"li","year":"2017","journal-title":"WWW"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.76.046115"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622109"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018667"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2009.11.002"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783296"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8462-3_5"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-010-5205-8"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488425"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2500492"},{"key":"ref24","article-title":"Efficient estimation of word representations in vector space","author":"mikolov","year":"2013","journal-title":"arXiv preprint arXiv 1301 3781"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.04.015"},{"key":"ref26","first-page":"2837","article-title":"Information theoretic measures for clusterings comparison: Variants, properties, normalization and correction for chance","volume":"11","author":"vinh","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref25","first-page":"539","article-title":"Learning to discover social circles in ego networks","author":"leskovec","year":"2012","journal-title":"NeurIPS"}],"event":{"name":"2019 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2019,12,9]]},"location":"Los Angeles, CA, USA","end":{"date-parts":[[2019,12,12]]}},"container-title":["2019 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8986695\/9005444\/09006118.pdf?arnumber=9006118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,27]],"date-time":"2023-09-27T15:12:32Z","timestamp":1695827552000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9006118\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/bigdata47090.2019.9006118","relation":{},"subject":[],"published":{"date-parts":[[2019,12]]}}}