{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T20:23:52Z","timestamp":1792268632037,"version":"4.4.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012659","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773331 and 61403328"],"award-info":[{"award-number":["61773331 and 61403328"]}],"id":[{"id":"10.13039\/501100012659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["201964022"],"award-info":[{"award-number":["201964022"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411944","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:04Z","timestamp":1603085464000},"page":"995-1004","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":32,"title":["Fast Attributed Multiplex Heterogeneous Network Embedding"],"prefix":"10.1145","author":[{"given":"Zhijun","family":"Liu","sequence":"first","affiliation":[{"name":"Yantai University, Yantai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Huang","sequence":"additional","affiliation":[{"name":"JD Finance America Corporation, Mountain View, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanwei","family":"Yu","sequence":"additional","affiliation":[{"name":"Ocean University of China, Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baode","family":"Fan","sequence":"additional","affiliation":[{"name":"Yantai University, Yantai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junyu","family":"Dong","sequence":"additional","affiliation":[{"name":"Ocean University of China, Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806512"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"crossref","unstructured":"Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou and Jie Tang. 2019. Representation Learning for Attributed Multiplex Heterogeneous Network. In KDD. 1358--1368. Yukuo Cen Xu Zou Jianwei Zhang Hongxia Yang Jingren Zhou and Jie Tang. 2019. Representation Learning for Attributed Multiplex Heterogeneous Network. In KDD. 1358--1368.","DOI":"10.1145\/3292500.3330964"},{"key":"e_1_3_2_2_3_1","volume-title":"Yingtao Tian, Muhao Chen, and Steven Skiena.","author":"Chen Haochen","year":"2019","unstructured":"Haochen Chen , Syed Fahad Sultan , Yingtao Tian, Muhao Chen, and Steven Skiena. 2019 . Fast and Accurate Network Embeddings via Very Sparse Random Projection. In CIKM. 399--408. Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, and Steven Skiena. 2019. Fast and Accurate Network Embeddings via Very Sparse Random Projection. In CIKM. 399--408."},{"key":"e_1_3_2_2_4_1","unstructured":"Micha\u00eb l Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In NeurIPS. 3837--3845. Micha\u00eb l Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In NeurIPS. 3837--3845."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Yuxiao Dong Nitesh V. Chawla and Ananthram Swami. 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In KDD. 135--144. Yuxiao Dong Nitesh V. Chawla and Ananthram Swami. 2017. metapath2vec: Scalable Representation Learning for Heterogeneous Networks. In KDD. 135--144.","DOI":"10.1145\/3097983.3098036"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Aditya Grover and Jure Leskovec. 2016. node2vec: Scalable feature learning for networks. In KDD. ACM 855--864. Aditya Grover and Jure Leskovec. 2016. node2vec: Scalable feature learning for networks. In KDD. ACM 855--864.","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_7_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NeurIPS. 1024--1034. Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NeurIPS. 1024--1034."},{"key":"e_1_3_2_2_8_1","unstructured":"Binbin Hu Yuan Fang and Chuan Shi. 2019. Adversarial Learning on Heterogeneous Information Networks. In KDD. 120--129. Binbin Hu Yuan Fang and Chuan Shi. 2019. Adversarial Learning on Heterogeneous Information Networks. In KDD. 120--129."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Chao Huang Baoxu Shi Xuchao Zhang Xian Wu etal 2019 a. Similarity-aware network embedding with self-paced learning. In CIKM. 2113--2116. Chao Huang Baoxu Shi Xuchao Zhang Xian Wu et al. 2019 a. Similarity-aware network embedding with self-paced learning. In CIKM. 2113--2116.","DOI":"10.1145\/3357384.3358163"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Chao Huang Xian Wu Xuchao Zhang Chuxu Zhang Jiashu Zhao Dawei Yin and Nitesh V Chawla. 2019 b. Online purchase prediction via multi-scale modeling of behavior dynamics. In KDD. 2613--2622. Chao Huang Xian Wu Xuchao Zhang Chuxu Zhang Jiashu Zhao Dawei Yin and Nitesh V Chawla. 2019 b. Online purchase prediction via multi-scale modeling of behavior dynamics. In KDD. 2613--2622.","DOI":"10.1145\/3292500.3330790"},{"key":"e_1_3_2_2_11_1","volume-title":"Extensions of Lipschitz mappings into a Hilbert space. Contemporary mathematics","author":"Johnson William B","year":"1984","unstructured":"William B Johnson and Joram Lindenstrauss . 1984. Extensions of Lipschitz mappings into a Hilbert space. Contemporary mathematics , Vol. 26 , 189--206 ( 1984 ), 1. William B Johnson and Joram Lindenstrauss. 1984. Extensions of Lipschitz mappings into a Hilbert space. Contemporary mathematics, Vol. 26, 189--206 (1984), 1."},{"key":"e_1_3_2_2_12_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In ICLR. Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"J\u00e9 r\u00f4 me Kunegis and Andreas Lommatzsch. 2009. Learning spectral graph transformations for link prediction. In ICML. 561--568. J\u00e9 r\u00f4 me Kunegis and Andreas Lommatzsch. 2009. Learning spectral graph transformations for link prediction. In ICML. 561--568.","DOI":"10.1145\/1553374.1553447"},{"key":"e_1_3_2_2_14_1","unstructured":"Ping Li Trevor J Hastie and Kenneth W Church. 2006. Very sparse random projections. In KDD. ACM 287--296. Ping Li Trevor J Hastie and Kenneth W Church. 2006. Very sparse random projections. In KDD. ACM 287--296."},{"key":"e_1_3_2_2_15_1","unstructured":"Ruirui Li Xian Wu Xian Wu and Wei Wang. 2020. Few-Shot Learning for New User Recommendation in Location-based Social Networks. In WWW. 2472--2478. Ruirui Li Xian Wu Xian Wu and Wei Wang. 2020. Few-Shot Learning for New User Recommendation in Location-based Social Networks. In WWW. 2472--2478."},{"key":"e_1_3_2_2_16_1","volume-title":"Principled multilayer network embedding","author":"Liu Weiyi","unstructured":"Weiyi Liu , Pin-Yu Chen , Sailung Yeung , Toyotaro Suzumura , and Lingli Chen . 2017. Principled multilayer network embedding . In ICDMW. IEEE , 134--141. Weiyi Liu, Pin-Yu Chen, Sailung Yeung, Toyotaro Suzumura, and Lingli Chen. 2017. Principled multilayer network embedding. In ICDMW. IEEE, 134--141."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Chanyoung Park Donghyun Kim Jiawei Han and Hwanjo Yu. 2020. Unsupervised Attributed Multiplex Network Embedding. In AAAI. 5371--5378. Chanyoung Park Donghyun Kim Jiawei Han and Hwanjo Yu. 2020. Unsupervised Attributed Multiplex Network Embedding. In AAAI. 5371--5378.","DOI":"10.1609\/aaai.v34i04.5985"},{"key":"e_1_3_2_2_18_1","unstructured":"Jiezhong Qiu Yuxiao Dong Hao Ma Jian Li etal 2019. NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. In WWW. 1509--1520. Jiezhong Qiu Yuxiao Dong Hao Ma Jian Li et al. 2019. NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. In WWW. 1509--1520."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2833443"},{"key":"e_1_3_2_2_20_1","unstructured":"Qinfeng Shi Chunhua Shen Rhys Hill and Anton Van Den Hengel. 2012. Is margin preserved after random projection?. In ICML. 643--650. Qinfeng Shi Chunhua Shen Rhys Hill and Anton Van Den Hengel. 2012. Is margin preserved after random projection?. In ICML. 643--650."},{"key":"e_1_3_2_2_21_1","volume-title":"Honavar","author":"Sun Yiwei","year":"2019","unstructured":"Yiwei Sun , Suhang Wang , Tsung-Yu Hsieh , Xianfeng Tang , and Vasant G . Honavar . 2019 . MEGAN : A Generative Adversarial Network for Multi-View Network Embedding . (2019), 3527--3533. Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, and Vasant G. Honavar. 2019. MEGAN: A Generative Adversarial Network for Multi-View Network Embedding. (2019), 3527--3533."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_2_23_1","volume-title":"Joint modeling of dense and incomplete trajectories for citywide traffic","author":"Tang Xianfeng","unstructured":"Xianfeng Tang , Boqing Gong , Yanwei Yu , Huaxiu Yao , Yandong Li , Haiyong Xie , and Xiaoyu Wang . 2019. Joint modeling of dense and incomplete trajectories for citywide traffic volume inference. In WWW. 1806-- 1817 . Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, and Xiaoyu Wang. 2019. Joint modeling of dense and incomplete trajectories for citywide traffic volume inference. In WWW. 1806--1817."},{"key":"e_1_3_2_2_24_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR. Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR."},{"key":"e_1_3_2_2_25_1","volume-title":"Heterogeneous Graph Attention Network. In WWW. ACM","author":"Wang Xiao","year":"2019","unstructured":"Xiao Wang , Houye Ji , Chuan Shi , Bai Wang , Yanfang Ye , Peng Cui , and Philip S Yu . 2019 b . Heterogeneous Graph Attention Network. In WWW. ACM , 2022--2032. Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S Yu. 2019 b. Heterogeneous Graph Attention Network. In WWW. ACM, 2022--2032."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Yueyang Wang Ziheng Duan Binbing Liao Fei Wu and Yueting Zhuang. 2019 a. Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. In AAAI. 10061--10062. Yueyang Wang Ziheng Duan Binbing Liao Fei Wu and Yueting Zhuang. 2019 a. Heterogeneous Attributed Network Embedding with Graph Convolutional Networks. In AAAI. 10061--10062.","DOI":"10.1609\/aaai.v33i01.330110061"},{"key":"e_1_3_2_2_27_1","unstructured":"Felix Wu Amauri Souza Tianyi Zhang Christopher Fifty Tao Yu etal 2019. Simplifying Graph Convolutional Networks. In ICML. 6861--6871. Felix Wu Amauri Souza Tianyi Zhang Christopher Fifty Tao Yu et al. 2019. Simplifying Graph Convolutional Networks. In ICML. 6861--6871."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Lianghao Xia Chao Huang Yong Xu Peng Dai Bo Zhang and Liefeng Bo. 2020. Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. In SIGIR. 2397--2406. Lianghao Xia Chao Huang Yong Xu Peng Dai Bo Zhang and Liefeng Bo. 2020. Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. In SIGIR. 2397--2406.","DOI":"10.1145\/3397271.3401445"},{"key":"e_1_3_2_2_29_1","unstructured":"Yanwei Yu Xianfeng Tang Huaxiu Yao Xiuwen Yi and Zhenhui Li. 2019. Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Transactions on Big Data (2019). Yanwei Yu Xianfeng Tang Huaxiu Yao Xiuwen Yi and Zhenhui Li. 2019. Citywide Traffic Volume Inference with Surveillance Camera Records. IEEE Transactions on Big Data (2019)."},{"key":"e_1_3_2_2_30_1","first-page":"1","article-title":"Inferring mobility relationship via graph embedding","volume":"2","author":"Yu Yanwei","year":"2018","unstructured":"Yanwei Yu , Hongjian Wang , and Zhenhui Li . 2018 a. Inferring mobility relationship via graph embedding . IMWUT , Vol. 2 , 3 (2018), 1 -- 21 . Yanwei Yu, Hongjian Wang, and Zhenhui Li. 2018a. Inferring mobility relationship via graph embedding. IMWUT, Vol. 2, 3 (2018), 1--21.","journal-title":"IMWUT"},{"key":"e_1_3_2_2_31_1","volume-title":"Representation learning for large-scale dynamic networks","author":"Yu Yanwei","unstructured":"Yanwei Yu , Huaxiu Yao , Hongjian Wang , Xianfeng Tang , and Zhenhui Li. 2018b. Representation learning for large-scale dynamic networks . In DASFAA. Springer , 526--541. Yanwei Yu, Huaxiu Yao, Hongjian Wang, Xianfeng Tang, and Zhenhui Li. 2018b. Representation learning for large-scale dynamic networks. In DASFAA. Springer, 526--541."},{"key":"e_1_3_2_2_32_1","volume-title":"Kim","author":"Yun Seongjun","year":"2019","unstructured":"Seongjun Yun , Minbyul Jeong , Raehyun Kim , Jaewoo Kang , and Hyunwoo J . Kim . 2019 . Graph Transformer Networks. In NeurIPS. 11960--11970. Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, and Hyunwoo J. Kim. 2019. Graph Transformer Networks. In NeurIPS. 11960--11970."},{"key":"e_1_3_2_2_33_1","volume-title":"Chawla","author":"Zhang Chuxu","year":"2019","unstructured":"Chuxu Zhang , Dongjin Song , Chao Huang , Ananthram Swami , and Nitesh V . Chawla . 2019 . Heterogeneous Graph Neural Network. In KDD. 793--803. Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, and Nitesh V. Chawla. 2019. Heterogeneous Graph Neural Network. In KDD. 793--803."},{"key":"e_1_3_2_2_34_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. In ICDM. 787--796. Ziwei Zhang Peng Cui Haoyang Li Xiao Wang and Wenwu Zhu. 2018. Billion-Scale Network Embedding with Iterative Random Projection. In ICDM. 787--796.","DOI":"10.1109\/ICDM.2018.00094"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411944","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411944","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:22Z","timestamp":1750197682000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411944"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":34,"alternative-id":["10.1145\/3340531.3411944","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411944","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}