{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T06:55:29Z","timestamp":1793084129754,"version":"4.5.0"},"publisher-location":"New York, NY, USA","reference-count":35,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T00:00:00Z","timestamp":1501804800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF-09-2-0053"],"award-info":[{"award-number":["W911NF-09-2-0053"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1629914"],"award-info":[{"award-number":["CNS-1629914"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,4]]},"DOI":"10.1145\/3097983.3098036","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T14:35:54Z","timestamp":1501857354000},"page":"135-144","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1953,"title":["metapath2vec"],"prefix":"10.1145","author":[{"given":"Yuxiao","family":"Dong","sequence":"first","affiliation":[{"name":"Microsoft Research & University of Notre Dame, Redmond, WA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nitesh V.","family":"Chawla","sequence":"additional","affiliation":[{"name":"University of Notre Dame, Notre Dame, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ananthram","family":"Swami","sequence":"additional","affiliation":[{"name":"Army Research Laboratory, Adelphi, MD, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2017,8,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"TensorFlow: A system for large-scale machine learning OSDI '16","author":"Abadi Mart\u00edn","unstructured":"Mart\u00edn Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , and others. 2016. TensorFlow: A system for large-scale machine learning OSDI '16 . Mart\u00edn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, and others. 2016. TensorFlow: A system for large-scale machine learning OSDI '16."},{"key":"e_1_3_2_1_2_1","volume-title":"Smola","author":"Ahmed Amr","year":"2013","unstructured":"Amr Ahmed , Nino Shervashidze , Shravan Narayanamurthy , Vanja Josifovski , and Alexander J . Smola 2013 . Distributed Large-scale Natural Graph Factorization WWW 13. ACM , 37--48. Amr Ahmed, Nino Shervashidze, Shravan Narayanamurthy, Vanja Josifovski, and Alexander J. Smola 2013. Distributed Large-scale Natural Graph Factorization WWW 13. ACM, 37--48."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"e_1_3_2_1_4_1","volume-title":"Huang","author":"Chang Shiyu","year":"2015","unstructured":"Shiyu Chang , Wei Han , Jiliang Tang , Guo-Jun Qi , Charu C. Aggarwal , and Thomas S . Huang 2015 . Heterogeneous Network Embedding via Deep Architectures KDD '15. ACM , 119--128. Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, and Thomas S. Huang 2015. Heterogeneous Network Embedding via Deep Architectures KDD '15. ACM, 119--128."},{"key":"e_1_3_2_1_5_1","volume-title":"Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification WSDM '17","author":"Chen Ting","year":"2017","unstructured":"Ting Chen and Yizhou Sun 2017 . Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification WSDM '17 . ACM. Ting Chen and Yizhou Sun 2017. Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification WSDM '17. ACM."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783329"},{"key":"e_1_3_2_1_7_1","volume-title":"word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method. CoRR","author":"Goldberg Yoav","year":"2014","unstructured":"Yoav Goldberg and Omer Levy 2014. word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method. CoRR Vol. abs\/ 1402 .3722 ( 2014 ). Yoav Goldberg and Omer Levy 2014. word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method. CoRR Vol. abs\/1402.3722 (2014)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Keith Henderson Brian Gallagher Tina Eliassi-Rad Hanghang Tong Sugato Basu Leman Akoglu Danai Koutra Christos Faloutsos and Lei Li 2012. Rolx: structural role extraction & mining in large graphs KDD '12. ACM 1231--1239. Keith Henderson Brian Gallagher Tina Eliassi-Rad Hanghang Tong Sugato Basu Leman Akoglu Danai Koutra Christos Faloutsos and Lei Li 2012. Rolx: structural role extraction & mining in large graphs KDD '12. ACM 1231--1239.","DOI":"10.1145\/2339530.2339723"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214502388618906"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018667"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Zhipeng Huang Yudian Zheng Reynold Cheng Yizhou Sun Nikos Mamoulis and Xiang Li. 2016. Meta structure: Computing relevance in large heterogeneous information networks KDD '16. ACM 1595--1604. Zhipeng Huang Yudian Zheng Reynold Cheng Yizhou Sun Nikos Mamoulis and Xiang Li. 2016. Meta structure: Computing relevance in large heterogeneous information networks KDD '16. ACM 1595--1604.","DOI":"10.1145\/2939672.2939815"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Ming Ji Jiawei Han and Marina Danilevsky 2011. Ranking-based classification of heterogeneous information networks KDD '11. ACM 1298--1306. Ming Ji Jiawei Han and Marina Danilevsky 2011. Ranking-based classification of heterogeneous information networks KDD '11. ACM 1298--1306.","DOI":"10.1145\/2020408.2020603"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model KDD '08. ACM 426--434. Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model KDD '08. ACM 426--434.","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935877"},{"key":"e_1_3_2_1_17_1","volume-title":"Efficient Estimation of Word Representations in Vector Space. CoRR","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Kai Chen , Greg Corrado , and Jeffrey Dean . 2013. Efficient Estimation of Word Representations in Vector Space. CoRR Vol. abs\/ 1301 .3781 ( 2013 ). Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. CoRR Vol. abs\/1301.3781 (2013)."},{"key":"e_1_3_2_1_18_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 '13. 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 '13. 3111--3119."},{"key":"e_1_3_2_1_19_1","volume-title":"Leveraging relational autocorrelation with latent group models Proceedings of the 4th international workshop on Multi-relational mining. ACM, 49--55","author":"Neville Jennifer","unstructured":"Jennifer Neville and David Jensen 2005. Leveraging relational autocorrelation with latent group models Proceedings of the 4th international workshop on Multi-relational mining. ACM, 49--55 . Jennifer Neville and David Jensen 2005. Leveraging relational autocorrelation with latent group models Proceedings of the 4th international workshop on Multi-relational mining. ACM, 49--55."},{"key":"e_1_3_2_1_20_1","volume-title":"Asymmetric Transitivity Preserving Graph Embedding KDD '16","author":"Ou Mingdong","year":"2016","unstructured":"Mingdong Ou , Peng Cui , Jian Pei , Ziwei Zhang , and Wenwu Zhu 2016 . Asymmetric Transitivity Preserving Graph Embedding KDD '16 . ACM, 1105--1114. Mingdong Ou, Peng Cui, Jian Pei, Ziwei Zhang, and Wenwu Zhu 2016. Asymmetric Transitivity Preserving Graph Embedding KDD '16. ACM, 1105--1114."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2016.7795391"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","unstructured":"Xiang Ren Wenqi He Meng Qu Clare R Voss Heng Ji and Jiawei Han. 2016. Label noise reduction in entity typing by heterogeneous partial-label embedding KDD '16. ACM. Xiang Ren Wenqi He Meng Qu Clare R Voss Heng Ji and Jiawei Han. 2016. Label noise reduction in entity typing by heterogeneous partial-label embedding KDD '16. ACM.","DOI":"10.1145\/2939672.2939822"},{"key":"e_1_3_2_1_24_1","volume-title":"word2vec Parameter Learning Explained. CoRR","author":"Xin Rong","year":"2014","unstructured":"Xin Rong 2014. word2vec Parameter Learning Explained. CoRR Vol. abs\/ 1411 .2738 ( 2014 ). Xin Rong 2014. word2vec Parameter Learning Explained. CoRR Vol. abs\/1411.2738 (2014)."},{"key":"e_1_3_2_1_25_1","volume-title":"Mining Heterogeneous Information Networks: Principles and Methodologies","author":"Sun Yizhou","unstructured":"Yizhou Sun and Jiawei Han 2012. Mining Heterogeneous Information Networks: Principles and Methodologies . Morgan & Claypool Publishers . Yizhou Sun and Jiawei Han 2012. Mining Heterogeneous Information Networks: Principles and Methodologies. Morgan & Claypool Publishers."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","unstructured":"Yizhou Sun Jiawei Han Xifeng Yan Philip S. Yu and Tianyi Wu 2011. Pathsim: Meta path-based top-k similarity search in heterogeneous information networks VLDB '11. 992--1003. Yizhou Sun Jiawei Han Xifeng Yan Philip S. Yu and Tianyi Wu 2011. Pathsim: Meta path-based top-k similarity search in heterogeneous information networks VLDB '11. 992--1003.","DOI":"10.14778\/3402707.3402736"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339738"},{"key":"e_1_3_2_1_28_1","volume-title":"Ranking-based Clustering of Heterogeneous Information Networks with Star Network Schema KDD '09","author":"Sun Yizhou","year":"2009","unstructured":"Yizhou Sun , Yintao Yu , and Jiawei Han 2009 . Ranking-based Clustering of Heterogeneous Information Networks with Star Network Schema KDD '09 . ACM, 797--806. Yizhou Sun, Yintao Yu, and Jiawei Han 2009. Ranking-based Clustering of Heterogeneous Information Networks with Star Network Schema KDD '09. ACM, 797--806."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783307"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1402008"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557109"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0210-x"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783267"}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Halifax NS Canada","acronym":"KDD '17","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 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098036","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098036","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098036","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T16:37:19Z","timestamp":1750783039000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098036"}},"subtitle":["Scalable Representation Learning for Heterogeneous Networks"],"short-title":[],"issued":{"date-parts":[[2017,8,4]]},"references-count":35,"alternative-id":["10.1145\/3097983.3098036","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098036","relation":{},"subject":[],"published":{"date-parts":[[2017,8,4]]},"assertion":[{"value":"2017-08-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}