{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T01:41:16Z","timestamp":1781314876363,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T00:00:00Z","timestamp":1566864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/L016427\/1"],"award-info":[{"award-number":["EP\/L016427\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,8,27]]},"DOI":"10.1145\/3341161.3342890","type":"proceedings-article","created":{"date-parts":[[2020,1,15]],"date-time":"2020-01-15T21:07:04Z","timestamp":1579122424000},"page":"65-72","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":225,"title":["GEMSEC"],"prefix":"10.1145","author":[{"given":"Benedek","family":"Rozemberczki","sequence":"first","affiliation":[{"name":"The University of Edinburgh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryan","family":"Davies","sequence":"additional","affiliation":[{"name":"The University of Edinburgh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rik","family":"Sarkar","sequence":"additional","affiliation":[{"name":"The University of Edinburgh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles","family":"Sutton","sequence":"additional","affiliation":[{"name":"The University of Edinburgh"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,1,15]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"1","article-title":"Robust community detection methods with resolution parameter for complex detection in protein protein interaction networks","author":"Van Laarhoven T.","year":"2012","unstructured":"T. Van Laarhoven and E. Marchiori , \" Robust community detection methods with resolution parameter for complex detection in protein protein interaction networks ,\" Pattern Recognition in Bioinformatics , pp. 1 -- 13 , 2012 . T. Van Laarhoven and E. Marchiori, \"Robust community detection methods with resolution parameter for complex detection in protein protein interaction networks,\" Pattern Recognition in Bioinformatics, pp. 1--13, 2012.","journal-title":"Pattern Recognition in Bioinformatics"},{"key":"e_1_3_2_1_2_1","first-page":"44","volume-title":"ACM","author":"Backstrom L.","year":"2006","unstructured":"L. Backstrom , D. Huttenlocher , J. Kleinberg , and X. Lan , \" Group formation in large social networks: Membership, growth, and evolution,\" in Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining . ACM , 2006 , pp. 44 -- 54 . L. Backstrom, D. Huttenlocher, J. Kleinberg, and X. Lan, \"Group formation in large social networks: Membership, growth, and evolution,\" in Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2006, pp. 44--54."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-011-0224-z"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/2787930"},{"key":"e_1_3_2_1_5_1","first-page":"284","volume-title":"International Symposium on Computer and Information Sciences. Springer Berlin Heidelberg","author":"Pascal P.","year":"2005","unstructured":"P. Pascal and M. Latapy , In International Symposium on Computer and Information Sciences. Springer Berlin Heidelberg , 2005 , ch. Computing Communities in Large Networks Using Random Walks. , pp. 284 -- 293 . P. Pascal and M. Latapy, In International Symposium on Computer and Information Sciences. Springer Berlin Heidelberg, 2005, ch. Computing Communities in Large Networks Using Random Walks., pp. 284--293."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/12\/10\/103018"},{"key":"e_1_3_2_1_7_1","volume-title":"Graph embedding techniques, applications, and performance: A survey,\" arXiv preprint arXiv:1705.02801","author":"Goyal P.","year":"2017","unstructured":"P. Goyal and E. Ferrara , \" Graph embedding techniques, applications, and performance: A survey,\" arXiv preprint arXiv:1705.02801 , 2017 . P. Goyal and E. Ferrara, \"Graph embedding techniques, applications, and performance: A survey,\" arXiv preprint arXiv:1705.02801, 2017."},{"key":"e_1_3_2_1_8_1","volume-title":"Deepwalk: Online learning of social representations.\" in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining","author":"Perozzi B.","year":"2014","unstructured":"B. Perozzi , R. Al-Rfou , and S. Skiena , \" Deepwalk: Online learning of social representations.\" in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining ., 2014 . B. Perozzi, R. Al-Rfou, and S. Skiena, \"Deepwalk: Online learning of social representations.\" in Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining., 2014."},{"key":"e_1_3_2_1_9_1","first-page":"855","volume-title":"Node2vec: Scalable feature learning for networks,\" in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"Grover A.","year":"2016","unstructured":"A. Grover and J. Leskovec , \" Node2vec: Scalable feature learning for networks,\" in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , 2016 , pp. 855 -- 864 . A. Grover and J. Leskovec, \"Node2vec: Scalable feature learning for networks,\" in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016, pp. 855--864."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1086\/jar.33.4.3629752"},{"key":"e_1_3_2_1_11_1","volume-title":"Efficient estimation of word representations in vector space","author":"Mikolov T.","year":"2013","unstructured":"T. Mikolov , K. Chen , G. Corrado , and J. Dean , \" Efficient estimation of word representations in vector space ,\" 2013 . T. Mikolov, K. Chen, G. Corrado, and J. Dean, \"Efficient estimation of word representations in vector space,\" 2013."},{"key":"e_1_3_2_1_12_1","volume-title":"A method for stochastic optimization,\" in Proceedings of the 3rd International Conference on Learning Representations (ICLR)","author":"Kingma J. B.","year":"2015","unstructured":"J. B. Diederik P. Kingma , \"Adam : A method for stochastic optimization,\" in Proceedings of the 3rd International Conference on Learning Representations (ICLR) , 2015 . J. B. Diederik P. Kingma, \"Adam: A method for stochastic optimization,\" in Proceedings of the 3rd International Conference on Learning Representations (ICLR), 2015."},{"key":"e_1_3_2_1_13_1","first-page":"377","volume-title":"Learning community embedding with community detection and node embedding on graphs,\" in Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","author":"Cavallari S.","year":"2017","unstructured":"S. Cavallari , V. W. Zheng , H. Cai , K. C.-C. Chang , and E. Cambria , \" Learning community embedding with community detection and node embedding on graphs,\" in Proceedings of the 2017 ACM on Conference on Information and Knowledge Management , 2017 , pp. 377 -- 386 . S. Cavallari, V. W. Zheng, H. Cai, K. C.-C. Chang, and E. Cambria, \"Learning community embedding with community detection and node embedding on graphs,\" in Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017, pp. 377--386."},{"key":"e_1_3_2_1_14_1","first-page":"203","article-title":"Community preserving network embedding","author":"Wang X.","year":"2017","unstructured":"X. Wang , P. Cui , J. Wang , J. Pei , W. Zhu , and S. Yang , \" Community preserving network embedding .\" in AAAI , 2017 , pp. 203 -- 209 . X. Wang, P. Cui, J. Wang, J. Pei, W. Zhu, and S. Yang, \"Community preserving network embedding.\" in AAAI, 2017, pp. 203--209.","journal-title":"AAAI"},{"key":"e_1_3_2_1_15_1","first-page":"1393","volume-title":"ACM","author":"Ye F.","year":"2018","unstructured":"F. Ye , C. Chen , and Z. Zheng , \" Deep autoencoder-like nonnegative matrix factorization for community detection,\" in Proceedings of the 27th ACM International Conference on Information and Knowledge Management . ACM , 2018 , pp. 1393 -- 1402 . F. Ye, C. Chen, and Z. Zheng, \"Deep autoencoder-like nonnegative matrix factorization for community detection,\" in Proceedings of the 27th ACM International Conference on Information and Knowledge Management. ACM, 2018, pp. 1393--1402."},{"key":"e_1_3_2_1_16_1","first-page":"1067","volume-title":"Line: Large-scale information network embedding,\" in Proceedings of the 24th International Conference on World Wide Web","author":"Tang J.","year":"2015","unstructured":"J. Tang , M. Qu , M. Wang , M. Zhang , J. Yan , and Q. Mei , \" Line: Large-scale information network embedding,\" in Proceedings of the 24th International Conference on World Wide Web , 2015 , pp. 1067 -- 1077 . J. Tang, M. Qu, M. Wang, M. Zhang, J. Yan, and Q. Mei, \"Line: Large-scale information network embedding,\" in Proceedings of the 24th International Conference on World Wide Web, 2015, pp. 1067--1077."},{"key":"e_1_3_2_1_17_1","first-page":"258","article-title":"Don't walk, skip!: Online learning of multi-scale network embeddings,\" in Proceedings of the 2017 IEEE\/ACM International Conference on Advances","volume":"2017","author":"Perozzi B.","year":"2017","unstructured":"B. Perozzi , V. Kulkarni , H. Chen , and S. Skiena , \" Don't walk, skip!: Online learning of multi-scale network embeddings,\" in Proceedings of the 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 , 2017 , pp. 258 -- 265 . B. Perozzi, V. Kulkarni, H. Chen, and S. Skiena, \"Don't walk, skip!: Online learning of multi-scale network embeddings,\" in Proceedings of the 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, 2017, pp. 258--265.","journal-title":"Social Networks Analysis and Mining"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcss.2004.04.011"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-0039-7"},{"key":"e_1_3_2_1_20_1","first-page":"621","article-title":"Spherical representation and polyhedron routing for load balancing in wireless sensor networks,\" in 2011 Proceedings IEEE INFOCOM","author":"Yu X.","year":"2011","unstructured":"X. Yu , X. Ban , W. Zeng , R. Sarkar , X. Gu , and J. Gao , \" Spherical representation and polyhedron routing for load balancing in wireless sensor networks,\" in 2011 Proceedings IEEE INFOCOM . IEEE , 2011 , pp. 621 -- 625 . X. Yu, X. Ban, W. Zeng, R. Sarkar, X. Gu, and J. Gao, \"Spherical representation and polyhedron routing for load balancing in wireless sensor networks,\" in 2011 Proceedings IEEE INFOCOM. IEEE, 2011, pp. 621--625.","journal-title":"IEEE"},{"key":"e_1_3_2_1_21_1","first-page":"979","volume-title":"IEEE","author":"Huang K.","year":"2014","unstructured":"K. Huang , C.-C. Ni , R. Sarkar , J. Gao , and J. S. Mitchell , \" Bounded stretch geographic homotopic routing in sensor networks,\" in IEEE INFOCOM 2014-IEEE Conference on Computer Communications . IEEE , 2014 , pp. 979 -- 987 . K. Huang, C.-C. Ni, R. Sarkar, J. Gao, and J. S. Mitchell, \"Bounded stretch geographic homotopic routing in sensor networks,\" in IEEE INFOCOM 2014-IEEE Conference on Computer Communications. IEEE, 2014, pp. 979--987."},{"key":"e_1_3_2_1_22_1","first-page":"355","volume-title":"Springer","author":"Sarkar R.","year":"2011","unstructured":"R. Sarkar , \"Low distortion delaunay embedding of trees in hyperbolic plane,\" in International Symposium on Graph Drawing . Springer , 2011 , pp. 355 -- 366 . R. Sarkar, \"Low distortion delaunay embedding of trees in hyperbolic plane,\" in International Symposium on Graph Drawing. Springer, 2011, pp. 355--366."},{"key":"e_1_3_2_1_23_1","first-page":"4460","article-title":"Representation tradeoffs for hyperbolic embeddings","volume":"80","author":"De Sa C.","year":"2018","unstructured":"C. De Sa , A. Gu , C. R\u00e9 , and F. Sala , \" Representation tradeoffs for hyperbolic embeddings ,\" Proceedings of machine learning research , vol. 80 , p. 4460 , 2018 . C. De Sa, A. Gu, C. R\u00e9, and F. Sala, \"Representation tradeoffs for hyperbolic embeddings,\" Proceedings of machine learning research, vol. 80, p. 4460, 2018.","journal-title":"Proceedings of machine learning research"},{"key":"e_1_3_2_1_24_1","first-page":"1","article-title":"Resilient routing for sensor networks using hyperbolic embedding of universal covering space,\" in 2010 Proceedings IEEE INFOCOM","author":"Zeng W.","year":"2010","unstructured":"W. Zeng , R. Sarkar , F. Luo , X. Gu , and J. Gao , \" Resilient routing for sensor networks using hyperbolic embedding of universal covering space,\" in 2010 Proceedings IEEE INFOCOM . IEEE , 2010 , pp. 1 -- 9 . W. Zeng, R. Sarkar, F. Luo, X. Gu, and J. Gao, \"Resilient routing for sensor networks using hyperbolic embedding of universal covering space,\" in 2010 Proceedings IEEE INFOCOM. IEEE, 2010, pp. 1--9.","journal-title":"IEEE"},{"key":"e_1_3_2_1_25_1","first-page":"99","volume-title":"Fast sequence-based embedding with diffusion graphs,\" in International Workshop on Complex Networks","author":"Rozemberczki B.","year":"2018","unstructured":"B. Rozemberczki and R. Sarkar , \" Fast sequence-based embedding with diffusion graphs,\" in International Workshop on Complex Networks . Springer , 2018 , pp. 99 -- 107 . B. Rozemberczki and R. Sarkar, \"Fast sequence-based embedding with diffusion graphs,\" in International Workshop on Complex Networks. Springer, 2018, pp. 99--107."},{"key":"e_1_3_2_1_26_1","first-page":"459","volume-title":"ACM","author":"Qiu J.","year":"2018","unstructured":"J. Qiu , Y. Dong , H. Ma , J. Li , K. Wang , and J. Tang , \" Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec,\" in Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining . ACM , 2018 , pp. 459 -- 467 . J. Qiu, Y. Dong, H. Ma, J. Li, K. Wang, and J. Tang, \"Network embedding as matrix factorization: Unifying deepwalk, line, pte, and node2vec,\" in Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. ACM, 2018, pp. 459--467."},{"key":"e_1_3_2_1_27_1","first-page":"297","article-title":"Noise-contrastive estimation: A new estimation principle for unnormalized statistical models","author":"Gutmann M.","year":"2010","unstructured":"M. Gutmann and A. Hyvarinen , \" Noise-contrastive estimation: A new estimation principle for unnormalized statistical models ,\" in Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics , 2010 , pp. 297 -- 304 . M. Gutmann and A. Hyvarinen, \"Noise-contrastive estimation: A new estimation principle for unnormalized statistical models,\" in Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010, pp. 297--304.","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0610245104"},{"key":"e_1_3_2_1_29_1","first-page":"37","volume-title":"Distributed large-scale natural graph factorization,\" in Proceedings of the 22nd international conference on World Wide Web","author":"Ahmed A.","year":"2013","unstructured":"A. Ahmed , N. Shervashidze , S. Narayanamurthy , V. Josifovski , and A. J. Smola , \" Distributed large-scale natural graph factorization,\" in Proceedings of the 22nd international conference on World Wide Web , 2013 , pp. 37 -- 48 . A. Ahmed, N. Shervashidze, S. Narayanamurthy, V. Josifovski, and A. J. Smola, \"Distributed large-scale natural graph factorization,\" in Proceedings of the 22nd international conference on World Wide Web, 2013, pp. 37--48."}],"event":{"name":"ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining","location":"Vancouver British Columbia Canada","acronym":"ASONAM '19","sponsor":["SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","IEEE CS"]},"container-title":["Proceedings of the 2019 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341161.3342890","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3341161.3342890","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:25Z","timestamp":1750199905000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341161.3342890"}},"subtitle":["graph embedding with self clustering"],"short-title":[],"issued":{"date-parts":[[2019,8,27]]},"references-count":29,"alternative-id":["10.1145\/3341161.3342890","10.1145\/3341161"],"URL":"https:\/\/doi.org\/10.1145\/3341161.3342890","relation":{},"subject":[],"published":{"date-parts":[[2019,8,27]]},"assertion":[{"value":"2020-01-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}