{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T01:14:59Z","timestamp":1780708499756,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":56,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,1,20]],"date-time":"2020-01-20T00:00:00Z","timestamp":1579478400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"French National Agency (ANR) under the JCJC project LiMass"},{"name":"DST - CNRS funded Indo - French collaborative project"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,1,20]]},"DOI":"10.1145\/3336191.3371800","type":"proceedings-article","created":{"date-parts":[[2020,1,22]],"date-time":"2020-01-22T19:08:16Z","timestamp":1579720096000},"page":"43-51","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":36,"title":["LouvainNE"],"prefix":"10.1145","author":[{"given":"Ayan Kumar","family":"Bhowmick","sequence":"first","affiliation":[{"name":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Koushik","family":"Meneni","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maximilien","family":"Danisch","sequence":"additional","affiliation":[{"name":"Sorbonne Universit\u00e9, CNRS, Laboratoire d'Informatique de Paris 6, LIP6, Paris, France, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Loup","family":"Guillaume","sequence":"additional","affiliation":[{"name":"L3I, University of La Rochelle, La Rochelle, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bivas","family":"Mitra","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,1,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"[n.d.]. Dataset. http:\/\/socialcomputing.asu.edu\/datasets\/BlogCatalog3. [n.d.]. Dataset. http:\/\/socialcomputing.asu.edu\/datasets\/BlogCatalog3."},{"key":"e_1_3_2_1_2_1","unstructured":"[n.d.]. Datasets. http:\/\/socialnetworks.mpi-sws.org\/data-imc2007.html. [n.d.]. Datasets. http:\/\/socialnetworks.mpi-sws.org\/data-imc2007.html."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Mikhail Belkin and Partha Niyogi. 2002. Laplacian eigenmaps and spectral techniques for embedding and clustering. NIPS 585--591. Mikhail Belkin and Partha Niyogi. 2002. Laplacian eigenmaps and spectral techniques for embedding and clustering. NIPS 585--591.","DOI":"10.7551\/mitpress\/1120.003.0080"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Ayan Kumar Bhowmick Koushik Meneni and Bivas Mitra. 2019. On the Network Embedding in Sparse Signed Networks. PAKDD 94--106. Ayan Kumar Bhowmick Koushik Meneni and Bivas Mitra. 2019. On the Network Embedding in Sparse Signed Networks. PAKDD 94--106.","DOI":"10.1007\/978-3-030-16142-2_8"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"e_1_3_2_1_6_1","volume-title":"Global Vectors for Node Representations. In The World Wide Web Conference. ACM, 2587--2593","author":"Brochier Robin","year":"2019","unstructured":"Robin Brochier , Adrien Guille , and Julien Velcin . 2019 . Global Vectors for Node Representations. In The World Wide Web Conference. ACM, 2587--2593 . Robin Brochier, Adrien Guille, and Julien Velcin. 2019. Global Vectors for Node Representations. In The World Wide Web Conference. ACM, 2587--2593."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"e_1_3_2_1_8_1","unstructured":"Shaosheng Cao Wei Lu and Qiongkai Xu. 2016. Deep Neural Networks for Learning Graph Representations. AAAI 1145--1152. Shaosheng Cao Wei Lu and Qiongkai Xu. 2016. Deep Neural Networks for Learning Graph Representations. AAAI 1145--1152."},{"key":"e_1_3_2_1_9_1","volume-title":"Gummadi","author":"Cha Meeyoung","year":"2010","unstructured":"Meeyoung Cha , Hamed Haddadi , Fabricio Benevenuto , and Krishna P . Gummadi . 2010 . Measuring User Influence in Twitter : The Million Follower Fallacy. ICWSM. Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, and Krishna P. Gummadi. 2010. Measuring User Influence in Twitter: The Million Follower Fallacy. ICWSM."},{"key":"e_1_3_2_1_10_1","volume-title":"Harp: Hierarchical representation learning for networks. AAAI, 2127--2134.","author":"Chen Haochen","year":"2018","unstructured":"Haochen Chen , Bryan Perozzi , Yifan Hu , and Steven Skiena . 2018 . Harp: Hierarchical representation learning for networks. AAAI, 2127--2134. Haochen Chen, Bryan Perozzi, Yifan Hu, and Steven Skiena. 2018. Harp: Hierarchical representation learning for networks. AAAI, 2127--2134."},{"key":"e_1_3_2_1_11_1","volume-title":"Mark EJ Newman, and Cristopher Moore","author":"Clauset Aaron","year":"2004","unstructured":"Aaron Clauset , Mark EJ Newman, and Cristopher Moore . 2004 . Finding community structure in very large networks. Physical review E 70, 6 (2004), 066111. Aaron Clauset, Mark EJ Newman, and Cristopher Moore. 2004. Finding community structure in very large networks. Physical review E 70, 6 (2004), 066111."},{"key":"e_1_3_2_1_12_1","volume-title":"A survey on network embedding","author":"Cui Peng","year":"2018","unstructured":"Peng Cui , Xiao Wang , Jian Pei , and Wenwu Zhu . 2018. A survey on network embedding . IEEE Transactions on Knowledge and Data Engineering ( 2018 ). Peng Cui, Xiao Wang, Jian Pei, and Wenwu Zhu. 2018. A survey on network embedding. IEEE Transactions on Knowledge and Data Engineering (2018)."},{"key":"e_1_3_2_1_13_1","unstructured":"Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. NIPS 3844--3852. Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. NIPS 3844--3852."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Yuxiao Dong Nitesh V Chawla and Ananthram Swami. 2017. metapath2vec: Scalable representation learning for heterogeneous networks. KDD 135--144. Yuxiao Dong Nitesh V Chawla and Ananthram Swami. 2017. metapath2vec: Scalable representation learning for heterogeneous networks. KDD 135--144.","DOI":"10.1145\/3097983.3098036"},{"key":"e_1_3_2_1_15_1","unstructured":"Claire Donnat Marinka Zitnik David Hallac and Jure Leskovec. 2018. Spectral graph wavelets for structural role similarity in networks. (2018). Claire Donnat Marinka Zitnik David Hallac and Jure Leskovec. 2018. Spectral graph wavelets for structural role similarity in networks. (2018)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/287"},{"key":"e_1_3_2_1_17_1","volume-title":"An introduction to ROC analysis. Pattern recognition letters 27, 8","author":"Fawcett Tom","year":"2006","unstructured":"Tom Fawcett . 2006. An introduction to ROC analysis. Pattern recognition letters 27, 8 ( 2006 ), 861--874. Tom Fawcett. 2006. An introduction to ROC analysis. Pattern recognition letters 27, 8 (2006), 861--874."},{"key":"e_1_3_2_1_18_1","volume-title":"Community detection in graphs. Physics reports 486, 3--5","author":"Fortunato Santo","year":"2010","unstructured":"Santo Fortunato . 2010. Community detection in graphs. Physics reports 486, 3--5 ( 2010 ), 75--174. Santo Fortunato. 2010. Community detection in graphs. Physics reports 486, 3--5 (2010), 75--174."},{"key":"e_1_3_2_1_19_1","volume-title":"ACM Sigmetrics","author":"Gabielkov Maksym","year":"2014","unstructured":"Maksym Gabielkov , Ashwin Rao , and Arnaud Legout . 2014. Studying Social Networks at Scale: Macroscopic Anatomy of the Twitter Social Graph . In ACM Sigmetrics 2014 . Austin , United States . https:\/\/hal.inria.fr\/hal-00948889 Maksym Gabielkov, Ashwin Rao, and Arnaud Legout. 2014. Studying Social Networks at Scale: Macroscopic Anatomy of the Twitter Social Graph. In ACM Sigmetrics 2014. Austin, United States. https:\/\/hal.inria.fr\/hal-00948889"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.03.022"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Aditya Grover and Jure Leskovec. 2016. node2vec: Scalable feature learning for networks. KDD 855--864. Aditya Grover and Jure Leskovec. 2016. node2vec: Scalable feature learning for networks. KDD 855--864.","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_22_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. NIPS 1024--1034. Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. NIPS 1024--1034."},{"key":"e_1_3_2_1_23_1","volume-title":"A survey and taxonomy of graph sampling. arXiv preprint arXiv:1308.5865","author":"Hu Pili","year":"2013","unstructured":"Pili Hu and Wing Cheong Lau . 2013. A survey and taxonomy of graph sampling. arXiv preprint arXiv:1308.5865 ( 2013 ). Pili Hu and Wing Cheong Lau. 2013. A survey and taxonomy of graph sampling. arXiv preprint arXiv:1308.5865 (2013)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Xiao Huang Jundong Li and Xia Hu. 2017. Label informed attributed network embedding. WSDM 731--739. Xiao Huang Jundong Li and Xia Hu. 2017. Label informed attributed network embedding. WSDM 731--739.","DOI":"10.1145\/3018661.3018667"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.02.028"},{"key":"e_1_3_2_1_26_1","volume-title":"SIDE: Representation Learning in Signed Directed Networks. WWW, 509--518.","author":"Kim Junghwan","year":"2018","unstructured":"Junghwan Kim , Haekyu Park , Ji-Eun Lee , and U Kang . 2018 . SIDE: Representation Learning in Signed Directed Networks. WWW, 509--518. Junghwan Kim, Haekyu Park, Ji-Eun Lee, and U Kang. 2018. SIDE: Representation Learning in Signed Directed Networks. WWW, 509--518."},{"key":"e_1_3_2_1_27_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_1_28_1","unstructured":"Jure Leskovec and Andrej Krevl. 2014. SNAP Datasets: Stanford Large Network Dataset Collection. http:\/\/snap.stanford.edu\/data. Jure Leskovec and Andrej Krevl. 2014. SNAP Datasets: Stanford Large Network Dataset Collection. http:\/\/snap.stanford.edu\/data."},{"key":"e_1_3_2_1_29_1","volume-title":"MILE: A Multi-Level Framework for Scalable Graph Embedding. arXiv preprint arXiv:1802.09612","author":"Liang Jiongqian","year":"2018","unstructured":"Jiongqian Liang , Saket Gurukar , and Srinivasan Parthasarathy . 2018 . MILE: A Multi-Level Framework for Scalable Graph Embedding. arXiv preprint arXiv:1802.09612 (2018). Jiongqian Liang, Saket Gurukar, and Srinivasan Parthasarathy. 2018. MILE: A Multi-Level Framework for Scalable Graph Embedding. arXiv preprint arXiv:1802.09612 (2018)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220062"},{"key":"e_1_3_2_1_31_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. NIPS 3111--3119. Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. NIPS 3111--3119."},{"key":"e_1_3_2_1_32_1","volume-title":"Finding and evaluating community structure in networks. Physical review E 69, 2","author":"Newman Mark EJ","year":"2004","unstructured":"Mark EJ Newman and Michelle Girvan . 2004. Finding and evaluating community structure in networks. Physical review E 69, 2 ( 2004 ), 026113. Mark EJ Newman and Michelle Girvan. 2004. Finding and evaluating community structure in networks. Physical review E 69, 2 (2004), 026113."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-22027-2_23"},{"key":"e_1_3_2_1_34_1","unstructured":"Mingdong Ou Peng Cui Jian Pei Ziwei Zhang and Wenwu Zhu. 2016. Asymmetric Transitivity Preserving Graph Embedding. KDD 1105--1114. Mingdong Ou Peng Cui Jian Pei Ziwei Zhang and Wenwu Zhu. 2016. Asymmetric Transitivity Preserving Graph Embedding. KDD 1105--1114."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_36_1","volume-title":"Netsmf: Large-scale network embedding as sparse matrix factorization. WWW, 1509--1520.","author":"Qiu Jiezhong","year":"2019","unstructured":"Jiezhong Qiu , Yuxiao Dong , Hao Ma , Jian Li , Chi Wang , Kuansan Wang , and Jie Tang . 2019 . Netsmf: Large-scale network embedding as sparse matrix factorization. WWW, 1509--1520. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, and Jie Tang. 2019. Netsmf: Large-scale network embedding as sparse matrix factorization. WWW, 1509--1520."},{"key":"e_1_3_2_1_37_1","unstructured":"Jiezhong Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang and Jie Tang. 2018. Network embedding as matrix factorization: Unifying deepwalk line pte and node2vec. WSDM 459--467. Jiezhong Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang and Jie Tang. 2018. Network embedding as matrix factorization: Unifying deepwalk line pte and node2vec. WSDM 459--467."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Jesse Read Bernhard Pfahringer Geoff Holmes and Eibe Frank. 2009. Classifier chains for multi-label classification. ECML PKDD 254--269. Jesse Read Bernhard Pfahringer Geoff Holmes and Eibe Frank. 2009. Classifier chains for multi-label classification. ECML PKDD 254--269.","DOI":"10.1007\/978-3-642-04174-7_17"},{"key":"e_1_3_2_1_39_1","volume-title":"Pedro HP Saverese, and Daniel R Figueiredo","author":"Ribeiro Leonardo FR","year":"2017","unstructured":"Leonardo FR Ribeiro , Pedro HP Saverese, and Daniel R Figueiredo . 2017 . struc2vec: Learning node representations from structural identity. KDD , 385--394. Leonardo FR Ribeiro, Pedro HP Saverese, and Daniel R Figueiredo. 2017. struc2vec: Learning node representations from structural identity. KDD, 385--394."},{"key":"e_1_3_2_1_40_1","volume-title":"Nonlinear dimensionality reduction by locally linear embedding. science 290","author":"Roweis Sam T","year":"2000","unstructured":"Sam T Roweis and Lawrence K Saul . 2000. Nonlinear dimensionality reduction by locally linear embedding. science 290 ( 2000 ), 2323--2326. Sam T Roweis and Lawrence K Saul. 2000. Nonlinear dimensionality reduction by locally linear embedding. science 290 (2000), 2323--2326."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098057"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_1_43_1","volume-title":"Vin De Silva, and John C Langford","author":"Tenenbaum Joshua B","year":"2000","unstructured":"Joshua B Tenenbaum , Vin De Silva, and John C Langford . 2000 . A global geometric framework for nonlinear dimensionality reduction. science 290 (2000), 2319--2323. Joshua B Tenenbaum, Vin De Silva, and John C Langford. 2000. A global geometric framework for nonlinear dimensionality reduction. science 290 (2000), 2319--2323."},{"key":"e_1_3_2_1_44_1","volume-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. 11","author":"Vincent Pascal","year":"2010","unstructured":"Pascal Vincent , Hugo Larochelle , Isabelle Lajoie , Yoshua Bengio , and PierreAntoine Manzagol . 2010. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. 11 ( 2010 ), 3371--3408. Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and PierreAntoine Manzagol. 2010. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. 11 (2010), 3371--3408."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Daixin Wang Peng Cui and Wenwu Zhu. 2016. Structural deep network embedding. KDD 1225--1234. Daixin Wang Peng Cui and Wenwu Zhu. 2016. Structural deep network embedding. KDD 1225--1234.","DOI":"10.1145\/2939672.2939753"},{"key":"e_1_3_2_1_46_1","volume-title":"Graphgan: Graph representation learning with generative adversarial nets. AAAI, 2508--2515.","author":"Wang Hongwei","year":"2018","unstructured":"Hongwei Wang , Jia Wang , Jialin Wang , Miao Zhao , Weinan Zhang , Fuzheng Zhang , Xing Xie , and Minyi Guo . 2018 . Graphgan: Graph representation learning with generative adversarial nets. AAAI, 2508--2515. Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, and Minyi Guo. 2018. Graphgan: Graph representation learning with generative adversarial nets. AAAI, 2508--2515."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"crossref","unstructured":"Suhang Wang Charu Aggarwal Jiliang Tang and Huan Liu. 2017. Attributed signed network embedding. CIKM 137--146. Suhang Wang Charu Aggarwal Jiliang Tang and Huan Liu. 2017. Attributed signed network embedding. CIKM 137--146.","DOI":"10.1145\/3132847.3132905"},{"key":"e_1_3_2_1_48_1","volume-title":"Signed network embedding in social media","author":"Wang Suhang","unstructured":"Suhang Wang , Jiliang Tang , Charu Aggarwal , Yi Chang , and Huan Liu . 2017. Signed network embedding in social media . SIAM , 327--335. Suhang Wang, Jiliang Tang, Charu Aggarwal, Yi Chang, and Huan Liu. 2017. Signed network embedding in social media. SIAM, 327--335."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Suhang Wang Jiliang Tang Fred Morstatter and Huan Liu. 2016. Paired restricted boltzmann machine for linked data. CIKM 1753--1762. Suhang Wang Jiliang Tang Fred Morstatter and Huan Liu. 2016. Paired restricted boltzmann machine for linked data. CIKM 1753--1762.","DOI":"10.1145\/2983323.2983756"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"crossref","unstructured":"Xiao Wang Peng Cui Jing Wang Jian Pei Wenwu Zhu and Shiqiang Yang. 2017. Community preserving network embedding. AAAI 203--209. Xiao Wang Peng Cui Jing Wang Jian Pei Wenwu Zhu and Shiqiang Yang. 2017. Community preserving network embedding. AAAI 203--209.","DOI":"10.1609\/aaai.v31i1.10488"},{"key":"e_1_3_2_1_51_1","unstructured":"Cheng Yang Zhiyuan Liu Deli Zhao Maosong Sun and Edward Chang. 2015. Network representation learning with rich text information. IJCAI 2111--2117. Cheng Yang Zhiyuan Liu Deli Zhao Maosong Sun and Edward Chang. 2015. Network representation learning with rich text information. IJCAI 2111--2117."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0693-z"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"crossref","unstructured":"Shuhan Yuan Xintao Wu and Yang Xiang. 2017. Sne: signed network embedding. PAKDD 183--195. Shuhan Yuan Xintao Wu and Yang Xiang. 2017. Sne: signed network embedding. PAKDD 183--195.","DOI":"10.1007\/978-3-319-57529-2_15"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"crossref","unstructured":"Jie Zhang Yuxiao Dong Yan Wang Jie Tang and Ming Ding. 2019. ProNE: Fast and Scalable Network Representation Learning. IJCAI. Jie Zhang Yuxiao Dong Yan Wang Jie Tang and Ming Ding. 2019. ProNE: Fast and Scalable Network Representation Learning. IJCAI.","DOI":"10.24963\/ijcai.2019\/594"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"crossref","unstructured":"Ziwei Zhang Peng Cui Haoyang Li Xiao Wang and Wenwu Zhu. 2018. Billion-scale Network Embedding with Iterative Random Projection. ICDM 787--796. Ziwei Zhang Peng Cui Haoyang Li Xiao Wang and Wenwu Zhu. 2018. Billion-scale Network Embedding with Iterative Random Projection. ICDM 787--796.","DOI":"10.1109\/ICDM.2018.00094"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"crossref","unstructured":"Chang Zhou Yuqiong Liu Xiaofei Liu Zhongyi Liu and Jun Gao. 2017. Scalable graph embedding for asymmetric proximity. AAAI 2942--2948. Chang Zhou Yuqiong Liu Xiaofei Liu Zhongyi Liu and Jun Gao. 2017. Scalable graph embedding for asymmetric proximity. AAAI 2942--2948.","DOI":"10.1609\/aaai.v31i1.10878"}],"event":{"name":"WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining","location":"Houston TX USA","acronym":"WSDM '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 13th International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3336191.3371800","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3336191.3371800","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:10Z","timestamp":1750206370000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3336191.3371800"}},"subtitle":["Hierarchical Louvain Method for High Quality and Scalable Network Embedding"],"short-title":[],"issued":{"date-parts":[[2020,1,20]]},"references-count":56,"alternative-id":["10.1145\/3336191.3371800","10.1145\/3336191"],"URL":"https:\/\/doi.org\/10.1145\/3336191.3371800","relation":{},"subject":[],"published":{"date-parts":[[2020,1,20]]},"assertion":[{"value":"2020-01-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}