{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:10:14Z","timestamp":1775913014843,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,14]],"date-time":"2021-08-14T00:00:00Z","timestamp":1628899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,14]]},"DOI":"10.1145\/3447548.3467384","type":"proceedings-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T06:12:09Z","timestamp":1628748729000},"page":"496-504","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":64,"title":["Dual Graph enhanced Embedding Neural Network for CTR Prediction"],"prefix":"10.1145","author":[{"given":"Wei","family":"Guo","sequence":"first","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"given":"Rong","family":"Su","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"given":"Renhao","family":"Tan","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"given":"Huifeng","family":"Guo","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"given":"Yingxue","family":"Zhang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Montreal Research Center, Montreal, Canada"}]},{"given":"Zhirong","family":"Liu","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"given":"Ruiming","family":"Tang","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]},{"given":"Xiuqiang","family":"He","sequence":"additional","affiliation":[{"name":"Huawei Noah's Ark Lab, Shenzhen, China"}]}],"member":"320","published-online":{"date-parts":[[2021,8,14]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"e_1_3_2_2_2_1","volume-title":"SIGKDD Workshop on Deep Learning Day.","author":"van den Berg Rianne","year":"2018","unstructured":"Rianne van den Berg , Thomas N Kipf , and Max Welling . 2018 . Graph convolutional matrix completion . In SIGKDD Workshop on Deep Learning Day. Rianne van den Berg, Thomas N Kipf, and Max Welling. 2018. Graph convolutional matrix completion. In SIGKDD Workshop on Deep Learning Day."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Heng Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked and Hemal Shah. 2016. Wide & Deep Learning for Recommender Systems. (2016).  Heng Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked and Hemal Shah. 2016. Wide & Deep Learning for Recommender Systems. (2016).","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_2_4_1","article-title":"Comparing two samples from an individual Likert question","volume":"18","author":"Derrick Ben","year":"2017","unstructured":"Ben Derrick and Paul White . 2017 . Comparing two samples from an individual Likert question . International Journal of Mathematics and Statistics , Vol. 18 , 3 (2017). Ben Derrick and Paul White. 2017. Comparing two samples from an individual Likert question. International Journal of Mathematics and Statistics, Vol. 18, 3 (2017).","journal-title":"International Journal of Mathematics and Statistics"},{"key":"e_1_3_2_2_5_1","volume-title":"Deep session interest network for click-through rate prediction. arXiv preprint arXiv:1905.06482","author":"Feng Yufei","year":"2019","unstructured":"Yufei Feng , Fuyu Lv , Weichen Shen , Menghan Wang , Fei Sun , Yu Zhu , and Keping Yang . 2019. Deep session interest network for click-through rate prediction. arXiv preprint arXiv:1905.06482 ( 2019 ). Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun, Yu Zhu, and Keping Yang. 2019. Deep session interest network for click-through rate prediction. arXiv preprint arXiv:1905.06482 (2019)."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"e_1_3_2_2_7_1","unstructured":"Xiangnan He and Tat-Seng Chua. 2017. Neural factorization machines for sparse predictive analytics. In SIGIR. ACM 355--364.  Xiangnan He and Tat-Seng Chua. 2017. Neural factorization machines for sparse predictive analytics. In SIGIR. ACM 355--364."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_2_9_1","volume-title":"Wayne Xin Zhao, and Philip S Yu","author":"Hu Binbin","year":"2018","unstructured":"Binbin Hu , Chuan Shi , Wayne Xin Zhao, and Philip S Yu . 2018 . Leveraging meta-path based context for top-n recommendation with a neural co-attention model. In SIGKDD. 1531--1540. Binbin Hu, Chuan Shi, Wayne Xin Zhao, and Philip S Yu. 2018. Leveraging meta-path based context for top-n recommendation with a neural co-attention model. In SIGKDD. 1531--1540."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959134"},{"key":"e_1_3_2_2_11_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_12_1","unstructured":"Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. In ICLR.  Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. In ICLR."},{"key":"e_1_3_2_2_13_1","unstructured":"Kuang-chih Lee Burkay Orten Ali Dasdan and Wentong Li. 2012. Estimating conversion rate in display advertising from past erformance data. In SIGKDD. ACM 768--776.  Kuang-chih Lee Burkay Orten Ali Dasdan and Wentong Li. 2012. Estimating conversion rate in display advertising from past erformance data. In SIGKDD. ACM 768--776."},{"key":"e_1_3_2_2_14_1","unstructured":"Chao Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Huan Zhao Pipei Huang Guoliang Kang Qiwei Chen Wei Li and Dik Lun Lee. 2019 c. Multi-interest network with dynamic routing for recommendation at Tmall. In CIKM. 2615--2623.  Chao Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Huan Zhao Pipei Huang Guoliang Kang Qiwei Chen Wei Li and Dik Lun Lee. 2019 c. Multi-interest network with dynamic routing for recommendation at Tmall. In CIKM. 2615--2623."},{"key":"e_1_3_2_2_15_1","unstructured":"Feng Li Zhenrui Chen Pengjie Wang Yi Ren Di Zhang and Xiaoyu Zhu. 2019 a. Graph Intention Network for Click-through Rate Prediction in Sponsored Search. In SIGIR. 961--964.  Feng Li Zhenrui Chen Pengjie Wang Yi Ren Di Zhang and Xiaoyu Zhu. 2019 a. Graph Intention Network for Click-through Rate Prediction in Sponsored Search. In SIGIR. 961--964."},{"key":"e_1_3_2_2_16_1","unstructured":"Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang and Liang Wang. 2019 b. Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction. In CIKM. 539--548.  Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang and Liang Wang. 2019 b. Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction. In CIKM. 539--548."},{"key":"e_1_3_2_2_17_1","volume-title":"xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. arXiv preprint arXiv:1803.05170","author":"Lian Jianxun","year":"2018","unstructured":"Jianxun Lian , Xiaohuan Zhou , Fuzheng Zhang , Zhongxia Chen , Xing Xie , and Guangzhong Sun . 2018. xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. arXiv preprint arXiv:1803.05170 ( 2018 ). Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, and Guangzhong Sun. 2018. xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. arXiv preprint arXiv:1803.05170 (2018)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Hu Linmei Tianchi Yang Chuan Shi Houye Ji and Xiaoli Li. 2019. Heterogeneous graph attention networks for semi-supervised short text classification. In EMNLP-IJCNLP. 4823--4832.  Hu Linmei Tianchi Yang Chuan Shi Houye Ji and Xiaoli Li. 2019. Heterogeneous graph attention networks for semi-supervised short text classification. In EMNLP-IJCNLP. 4823--4832.","DOI":"10.18653\/v1\/D19-1488"},{"key":"e_1_3_2_2_19_1","volume-title":"Wenliang Zhao, Shengjun Pan, Yu Sun, and Quan Lu.","author":"Pan Junwei","year":"2018","unstructured":"Junwei Pan , Jian Xu , Alfonso Lobos Ruiz , Wenliang Zhao, Shengjun Pan, Yu Sun, and Quan Lu. 2018 . Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. In WWW. 1349--1357. Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, and Quan Lu. 2018. Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. In WWW. 1349--1357."},{"key":"e_1_3_2_2_20_1","unstructured":"Jiarui Qin Weinan Zhang Xin Wu Jiarui Jin Yuchen Fang and Yong Yu. 2020. User Behavior Retrieval for Click-Through Rate Prediction. In SIGIR. 2347--2356.  Jiarui Qin Weinan Zhang Xin Wu Jiarui Jin Yuchen Fang and Yong Yu. 2020. User Behavior Retrieval for Click-Through Rate Prediction. In SIGIR. 2347--2356."},{"key":"e_1_3_2_2_21_1","volume-title":"Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. arXiv preprint arXiv:1807.00311","author":"Qu Yanru","year":"2018","unstructured":"Yanru Qu , Bohui Fang , Weinan Zhang , Ruiming Tang , Minzhe Niu , Huifeng Guo , Yong Yu , and Xiuqiang He. 2018. Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. arXiv preprint arXiv:1807.00311 ( 2018 ). Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, and Xiuqiang He. 2018. Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. arXiv preprint arXiv:1807.00311 (2018)."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Kan Ren Jiarui Qin Yuchen Fang Weinan Zhang Lei Zheng Weijie Bian Guorui Zhou Jian Xu Yong Yu Xiaoqiang Zhu etal 2019. Lifelong sequential modeling with personalized memorization for user response prediction. In SIGIR. 565--574.  Kan Ren Jiarui Qin Yuchen Fang Weinan Zhang Lei Zheng Weijie Bian Guorui Zhou Jian Xu Yong Yu Xiaoqiang Zhu et al. 2019. Lifelong sequential modeling with personalized memorization for user response prediction. In SIGIR. 565--574.","DOI":"10.1145\/3331184.3331230"},{"key":"e_1_3_2_2_23_1","volume-title":"Factorization machines","author":"Rendle Steffen","unstructured":"Steffen Rendle . 2010. Factorization machines . In ICDM. IEEE , 995--1000. Steffen Rendle. 2010. Factorization machines. In ICDM. IEEE, 995--1000."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357925"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3124749.3124754"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Yixin Cao Meng Liu and Tat-Seng Chua. 2019 a. KGAT: Knowledge Graph Attention Network for Recommendation. In SIGKDD. 950--958.  Xiang Wang Xiangnan He Yixin Cao Meng Liu and Tat-Seng Chua. 2019 a. KGAT: Knowledge Graph Attention Network for Recommendation. In SIGKDD. 950--958.","DOI":"10.1145\/3292500.3330989"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019 b. Neural Graph Collaborative Filtering. In SIGIR. 165--174.  Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019 b. Neural Graph Collaborative Filtering. In SIGIR. 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui and Philip S Yu. 2019 c. Heterogeneous graph attention network. In WWW. 2022--2032.  Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui and Philip S Yu. 2019 c. Heterogeneous graph attention network. In WWW. 2022--2032.","DOI":"10.1145\/3308558.3313562"},{"key":"e_1_3_2_2_30_1","volume-title":"Attentional factorization machines: Learning the weight of feature interactions via attention networks. arXiv preprint arXiv:1708.04617","author":"Xiao Jun","year":"2017","unstructured":"Jun Xiao , Hao Ye , Xiangnan He , Hanwang Zhang , Fei Wu , and Tat-Seng Chua . 2017. Attentional factorization machines: Learning the weight of feature interactions via attention networks. arXiv preprint arXiv:1708.04617 ( 2017 ). Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, and Tat-Seng Chua. 2017. Attentional factorization machines: Learning the weight of feature interactions via attention networks. arXiv preprint arXiv:1708.04617 (2017)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L Hamilton and Jure Leskovec. 2018. Graph convolutional neural networks for web-scale recommender systems. In SIGKDD. 974--983.  Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L Hamilton and Jure Leskovec. 2018. Graph convolutional neural networks for web-scale recommender systems. In SIGKDD. 974--983.","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Chuxu Zhang Dongjin Song Chao Huang Ananthram Swami and Nitesh V Chawla. 2019. Heterogeneous graph neural network. In SIGKDD. 793--803.  Chuxu Zhang Dongjin Song Chao Huang Ananthram Swami and Nitesh V Chawla. 2019. Heterogeneous graph neural network. In SIGKDD. 793--803.","DOI":"10.1145\/3292500.3330961"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015941"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep interest network for click-through rate prediction. In SIGKDD. ACM 1059--1068.  Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Han Zhu Xiao Ma Yanghui Yan Junqi Jin Han Li and Kun Gai. 2018. Deep interest network for click-through rate prediction. In SIGKDD. ACM 1059--1068.","DOI":"10.1145\/3219819.3219823"}],"event":{"name":"KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event Singapore","acronym":"KDD '21","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 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467384","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447548.3467384","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:23Z","timestamp":1750191503000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467384"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,14]]},"references-count":34,"alternative-id":["10.1145\/3447548.3467384","10.1145\/3447548"],"URL":"https:\/\/doi.org\/10.1145\/3447548.3467384","relation":{},"subject":[],"published":{"date-parts":[[2021,8,14]]},"assertion":[{"value":"2021-08-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}