{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T19:42:24Z","timestamp":1784835744284,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2014,8,24]],"date-time":"2014-08-24T00:00:00Z","timestamp":1408838400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100006785","name":"Google","doi-asserted-by":"publisher","award":["Faculty Research Award"],"award-info":[{"award-number":["Faculty Research Award"]}],"id":[{"id":"10.13039\/100006785","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["DBI-1060572 and IIS-1017181"],"award-info":[{"award-number":["DBI-1060572 and IIS-1017181"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000153","name":"Division of Biological Infrastructure","doi-asserted-by":"publisher","award":["DBI-1060572 and IIS-1017181"],"award-info":[{"award-number":["DBI-1060572 and IIS-1017181"]}],"id":[{"id":"10.13039\/100000153","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2014,8,24]]},"DOI":"10.1145\/2623330.2623732","type":"proceedings-article","created":{"date-parts":[[2014,8,22]],"date-time":"2014-08-22T19:38:46Z","timestamp":1408736326000},"page":"701-710","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7703,"title":["DeepWalk"],"prefix":"10.1145","author":[{"given":"Bryan","family":"Perozzi","sequence":"first","affiliation":[{"name":"Stony Brook University, Stony Brook, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rami","family":"Al-Rfou","sequence":"additional","affiliation":[{"name":"Stony Brook University, Stony Brook, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven","family":"Skiena","sequence":"additional","affiliation":[{"name":"Stony Brook University, Stony Brook, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2014,8,24]]},"reference":[{"key":"e_1_3_2_2_1_1","first-page":"183","volume-title":"Proceedings of the Seventeenth Conference on Computational Natural Language Learning","author":"Al-Rfou R.","year":"2013","unstructured":"R. Al-Rfou , B. Perozzi , and S. Skiena . Polyglot: Distributed word representations for multilingual nlp . In Proceedings of the Seventeenth Conference on Computational Natural Language Learning , pages 183 -- 192 , Sofia, Bulgaria , August 2013 . ACL. R. Al-Rfou, B. Perozzi, and S. Skiena. Polyglot: Distributed word representations for multilingual nlp. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning, pages 183--192, Sofia, Bulgaria, August 2013. ACL."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2006.44"},{"key":"e_1_3_2_2_3_1","volume-title":"Representation learning: A review and new perspectives","author":"Bengio Y.","year":"2013","unstructured":"Y. Bengio , A. Courville , and P. Vincent . Representation learning: A review and new perspectives . 2013 . Y. Bengio, A. Courville, and P. Vincent. Representation learning: A review and new perspectives. 2013."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944966"},{"key":"e_1_3_2_2_5_1","volume-title":"Proceedings of Neuro-N\u00eemes 91","author":"Bottou L.","year":"1991","unstructured":"L. Bottou . Stochastic gradient learning in neural networks . In Proceedings of Neuro-N\u00eemes 91 , Nimes, France , 1991 . EC2. L. Bottou. Stochastic gradient learning in neural networks. In Proceedings of Neuro-N\u00eemes 91, Nimes, France, 1991. EC2."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"key":"e_1_3_2_2_9_1","first-page":"1232","volume-title":"Advances in Neural Information Processing Systems 25","author":"Dean J.","year":"2012","unstructured":"J. Dean , G. Corrado , R. Monga , K. Chen , M. Devin , Q. Le , M. Mao , M. Ranzato , A. Senior , P. Tucker , K. Yang , and A. Ng . Large scale distributed deep networks. In P. Bartlett, F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors , Advances in Neural Information Processing Systems 25 , pages 1232 -- 1240 . 2012 . J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, Q. Le, M. Mao, M. Ranzato, A. Senior, P. Tucker, K. Yang, and A. Ng. Large scale distributed deep networks. In P. Bartlett, F. Pereira, C. Burges, L. Bottou, and K. Weinberger, editors, Advances in Neural Information Processing Systems 25, pages 1232--1240. 2012."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.5555\/1756006.1756025"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/1390681.1442794"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2007.46"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.5555\/1883692.1883693"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401925"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/7432.001.0001","volume-title":"Introduction to statistical relational learning","author":"Getoor L.","year":"2007","unstructured":"L. Getoor and B. Taskar . Introduction to statistical relational learning . MIT press , 2007 . L. Getoor and B. Taskar. Introduction to statistical relational learning. MIT press, 2007."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020512"},{"key":"e_1_3_2_2_18_1","first-page":"1","volume-title":"Proceedings of the eighth annual conference of the cognitive science society","author":"Hinton G. E.","year":"1986","unstructured":"G. E. Hinton . Learning distributed representations of concepts . In Proceedings of the eighth annual conference of the cognitive science society , pages 1 -- 12 . Amherst, MA , 1986 . G. E. Hinton. Learning distributed representations of concepts. In Proceedings of the eighth annual conference of the cognitive science society, pages 1--12. Amherst, MA, 1986."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1983.4767390"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.71"},{"key":"e_1_3_2_2_21_1","first-page":"315","volume-title":"ICML","volume":"2","author":"Kondor R. I.","year":"2002","unstructured":"R. I. Kondor and J. Lafferty . Diffusion kernels on graphs and other discrete input spaces . In ICML , volume 2 , pages 315 -- 322 , 2002 . R. I. Kondor and J. Lafferty. Diffusion kernels on graphs and other discrete input spaces. In ICML, volume 2, pages 315--322, 2002."},{"key":"e_1_3_2_2_22_1","first-page":"4","volume-title":"NIPS","volume":"1","author":"Krizhevsky A.","year":"2012","unstructured":"A. Krizhevsky , I. Sutskever , and G. E. Hinton . Imagenet classification with deep convolutional neural networks . In NIPS , volume 1 , page 4 , 2012 . A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, volume 1, page 4, 2012."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.v58:7"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASONAM.2010.19"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.21236\/ADA452802"},{"key":"e_1_3_2_2_26_1","first-page":"935","article-title":"Classification in networked data: A toolkit and a univariate case study","volume":"8","author":"Macskassy S. A.","year":"2007","unstructured":"S. A. Macskassy and F. Provost . Classification in networked data: A toolkit and a univariate case study . The Journal of Machine Learning Research , 8 : 935 -- 983 , 2007 . S. A. Macskassy and F. Provost. Classification in networked data: A toolkit and a univariate case study. The Journal of Machine Learning Research, 8:935--983, 2007.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_2_27_1","volume-title":"Efficient estimation of word representations in vector space. CoRR, abs\/1301.3781","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , K. Chen , G. Corrado , and J. Dean . Efficient estimation of word representations in vector space. CoRR, abs\/1301.3781 , 2013 . T. Mikolov, K. Chen, G. Corrado, and J. Dean. Efficient estimation of word representations in vector space. CoRR, abs\/1301.3781, 2013."},{"key":"e_1_3_2_2_28_1","first-page":"3111","volume-title":"Advances in Neural Information Processing Systems 26","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , I. Sutskever , K. Chen , G. S. Corrado , and J. Dean . Distributed representations of words and phrases and their compositionality . In Advances in Neural Information Processing Systems 26 , pages 3111 -- 3119 . 2013 . T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems 26, pages 3111--3119. 2013."},{"key":"e_1_3_2_2_29_1","first-page":"746","volume-title":"Proceedings of NAACL-HLT","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , W.-t. Yih , and G. Zweig . Linguistic regularities in continuous space word representations . In Proceedings of NAACL-HLT , pages 746 -- 751 , 2013 . T. Mikolov, W.-t. Yih, and G. Zweig. Linguistic regularities in continuous space word representations. In Proceedings of NAACL-HLT, pages 746--751, 2013."},{"key":"e_1_3_2_2_30_1","volume-title":"A scalable hierarchical distributed language model. Advances in neural information processing systems, 21:1081--1088","author":"Mnih A.","year":"2009","unstructured":"A. Mnih and G. E. Hinton . A scalable hierarchical distributed language model. Advances in neural information processing systems, 21:1081--1088 , 2009 . A. Mnih and G. E. Hinton. A scalable hierarchical distributed language model. Advances in neural information processing systems, 21:1081--1088, 2009."},{"key":"e_1_3_2_2_31_1","first-page":"246","volume-title":"Proceedings of the international workshop on artificial intelligence and statistics","author":"Morin F.","year":"2005","unstructured":"F. Morin and Y. Bengio . Hierarchical probabilistic neural network language model . In Proceedings of the international workshop on artificial intelligence and statistics , pages 246 -- 252 , 2005 . F. Morin and Y. Bengio. Hierarchical probabilistic neural network language model. In Proceedings of the international workshop on artificial intelligence and statistics, pages 246--252, 2005."},{"key":"e_1_3_2_2_32_1","first-page":"13","volume-title":"Proc. AAAI-2000 Workshop on Learning Statistical Models from Relational Data","author":"Neville J.","year":"2000","unstructured":"J. Neville and D. Jensen . Iterative classification in relational data . In Proc. AAAI-2000 Workshop on Learning Statistical Models from Relational Data , pages 13 -- 20 , 2000 . J. Neville and D. Jensen. Iterative classification in relational data. In Proc. AAAI-2000 Workshop on Learning Statistical Models from Relational Data, pages 13--20, 2000."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1090193.1090201"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5066-6"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0601602103"},{"key":"e_1_3_2_2_36_1","first-page":"693","volume-title":"Advances in Neural Information Processing Systems 24","author":"Recht B.","year":"2011","unstructured":"B. Recht , C. Re , S. Wright , and F. Niu . Hogwild: A lock-free approach to parallelizing stochastic gradient descent . In Advances in Neural Information Processing Systems 24 , pages 693 -- 701 . 2011 . B. Recht, C. Re, S. Wright, and F. Niu. Hogwild: A lock-free approach to parallelizing stochastic gradient descent. In Advances in Neural Information Processing Systems 24, pages 693--701. 2011."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1007352.1007372"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557109"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646094"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0210-x"},{"key":"e_1_3_2_2_42_1","first-page":"1201","article-title":"Graph kernels","volume":"99","author":"Vishwanathan S.","year":"2010","unstructured":"S. Vishwanathan , N. N. Schraudolph , R. Kondor , and K. M. Borgwardt . Graph kernels . The Journal of Machine Learning Research , 99 : 1201 -- 1242 , 2010 . S. Vishwanathan, N. N. Schraudolph, R. Kondor, and K. M. Borgwardt. Graph kernels. The Journal of Machine Learning Research, 99:1201--1242, 2010.","journal-title":"The Journal of Machine Learning Research"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487610"},{"key":"e_1_3_2_2_44_1","volume-title":"An information flow model for conflict and fission in small groups1. Journal of anthropological research, 33(4):452--473","author":"Zachary W.","year":"1977","unstructured":"W. Zachary . An information flow model for conflict and fission in small groups1. Journal of anthropological research, 33(4):452--473 , 1977 . W. Zachary. An information flow model for conflict and fission in small groups1. Journal of anthropological research, 33(4):452--473, 1977."}],"event":{"name":"KDD '14: The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"New York New York USA","acronym":"KDD '14","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2623330.2623732","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2623330.2623732","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T07:19:41Z","timestamp":1750231181000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2623330.2623732"}},"subtitle":["online learning of social representations"],"short-title":[],"issued":{"date-parts":[[2014,8,24]]},"references-count":44,"alternative-id":["10.1145\/2623330.2623732","10.1145\/2623330"],"URL":"https:\/\/doi.org\/10.1145\/2623330.2623732","relation":{},"subject":[],"published":{"date-parts":[[2014,8,24]]},"assertion":[{"value":"2014-08-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}