{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T06:16:46Z","timestamp":1775283406931,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T00:00:00Z","timestamp":1557705600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,13]]},"DOI":"10.1145\/3308558.3313550","type":"proceedings-article","created":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T12:17:59Z","timestamp":1557749879000},"page":"2929-2935","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity"],"prefix":"10.1145","author":[{"given":"Fanshuang","family":"Kong","sequence":"first","affiliation":[{"name":"BDBC and SKLSDE, School of Computer Science and Engineering, Beihang University Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richong","family":"Zhang","sequence":"additional","affiliation":[{"name":"BDBC and SKLSDE, School of Computer Science and Engineering, Beihang University Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyu","family":"Guo","sequence":"additional","affiliation":[{"name":"Institute for Information Technology of the National Research Council Canada Ottawa, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel","family":"Mensah","sequence":"additional","affiliation":[{"name":"BDBC and SKLSDE, School of Computer Science and Engineering, Beihang University Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyuan","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Beijing University of Chemical Technology Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongyi","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, University of Ottawa Ottawa, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376746"},{"key":"e_1_3_2_1_2_1","unstructured":"Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787-2795.   Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787-2795."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). 708-716","author":"Cucerzan Silviu","year":"2007","unstructured":"Silviu Cucerzan . 2007 . Large-Scale Named Entity Disambiguation Based on Wikipedia Data . In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). 708-716 . Silviu Cucerzan. 2007. Large-Scale Named Entity Disambiguation Based on Wikipedia Data. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL). 708-716."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609628"},{"key":"e_1_3_2_1_5_1","volume-title":"Welty","author":"Ferrucci David A.","year":"2010","unstructured":"David A. Ferrucci , Eric W. Brown , Jennifer Chu-Carroll , James Fan , David Gondek , Aditya Kalyanpur , Adam Lally , J. William Murdock , Eric Nyberg , John M. Prager , Nico Schlaefer , and Christopher A . Welty . 2010 . Building Watson : An Overview of the DeepQA Project. Ai Magazine 31, 3 (2010), 59-79. David A. Ferrucci, Eric W. Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya Kalyanpur, Adam Lally, J. William Murdock, Eric Nyberg, John M. Prager, Nico Schlaefer, and Christopher A. Welty. 2010. Building Watson: An Overview of the DeepQA Project. Ai Magazine31, 3 (2010), 59-79."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3172077.3172138"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2008.4497504"},{"key":"e_1_3_2_1_8_1","volume-title":"S\u00f6ren Auer, and others.","author":"Lehmann Jens","year":"2015","unstructured":"Jens Lehmann , Robert Isele , Max Jakob , Anja Jentzsch , Dimitris Kontokostas , Pablo N Mendes , Sebastian Hellmann , Mohamed Morsey , Patrick Van Kleef , S\u00f6ren Auer, and others. 2015 . DBpedia-a large-scale, multilingual knowledge base extracted from Wikipedia. Semantic Web 6, 2 (2015), 167-195. Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick Van Kleef, S\u00f6ren Auer, and others. 2015. DBpedia-a large-scale, multilingual knowledge base extracted from Wikipedia. Semantic Web6, 2 (2015), 167-195."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_1_10_1","first-page":"2168","volume-title":"Analogical Inference for Multi-relational Embeddings. international conference on machine learning","author":"Liu Hanxiao","year":"2017","unstructured":"Hanxiao Liu , Yuexin Wu , and Yiming Yang . 2017 . Analogical Inference for Multi-relational Embeddings. international conference on machine learning (2017), 2168 - 2178 . Hanxiao Liu, Yuexin Wu, and Yiming Yang. 2017. Analogical Inference for Multi-relational Embeddings. international conference on machine learning (2017), 2168-2178."},{"key":"e_1_3_2_1_11_1","volume-title":"Poggio","author":"Nickel Maximilian","year":"2016","unstructured":"Maximilian Nickel , Lorenzo Rosasco , and Tomaso A . Poggio . 2016 . Holographic embeddings of knowledge graphs. national conference on artificial intelligence (2016), 1955-1961. Maximilian Nickel, Lorenzo Rosasco, and Tomaso A. Poggio. 2016. Holographic embeddings of knowledge graphs. national conference on artificial intelligence (2016), 1955-1961."},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 1532-1543","author":"Pennington Jeffrey","unstructured":"Jeffrey Pennington , Richard Socher , and Christopher D. Manning . 2014. Glove: Global Vectors for Word Representation . In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 1532-1543 . Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014. Glove: Global Vectors for Word Representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). 1532-1543."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2010.127"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Michael Sejr Schlichtkrull Thomas N. Kipf Peter Bloem Rianne van den Berg Ivan Titov Ivan Titov Max Welling and Max Welling. 2018. Modeling Relational Data with Graph Convolutional Networks. extended semantic web conference(2018) 593-607.  Michael Sejr Schlichtkrull Thomas N. Kipf Peter Bloem Rianne van den Berg Ivan Titov Ivan Titov Max Welling and Max Welling. 2018. Modeling Relational Data with Graph Convolutional Networks. extended semantic web conference(2018) 593-607.","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"e_1_3_2_1_16_1","volume-title":"ProjE: Embedding Projection for Knowledge Graph Completion. arXiv preprint arXiv:1611.054251","author":"Shi Baoxu","year":"2016","unstructured":"Baoxu Shi and Tim Weninger . 2016. ProjE: Embedding Projection for Knowledge Graph Completion. arXiv preprint arXiv:1611.054251 ( 2016 ). Baoxu Shi and Tim Weninger. 2016. ProjE: Embedding Projection for Knowledge Graph Completion. arXiv preprint arXiv:1611.054251 (2016)."},{"key":"e_1_3_2_1_17_1","volume-title":"Open-World Knowledge Graph Completion. national conference on artificial intelligence","author":"Shi Baoxu","year":"2018","unstructured":"Baoxu Shi and Tim Weninger . 2018. Open-World Knowledge Graph Completion. national conference on artificial intelligence ( 2018 ). Baoxu Shi and Tim Weninger. 2018. Open-World Knowledge Graph Completion. national conference on artificial intelligence (2018)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242667"},{"key":"e_1_3_2_1_19_1","unstructured":"The\u00b4o Trouillon Johannes Welbl Sebastian Riedel E&Acute;ric Gaussier and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. (2016).   The\u00b4o Trouillon Johannes Welbl Sebastian Riedel E&Acute;ric Gaussier and Guillaume Bouchard. 2016. Complex embeddings for simple link prediction. (2016)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/2893873.2894046"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/3016100.3016273"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052558"},{"key":"e_1_3_2_1_23_1","first-page":"1436","volume-title":"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","volume":"1","author":"Yang Bishan","unstructured":"Bishan Yang and Tom M. Mitchell . 2017. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading .. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , Vol. 1 . 1436 - 1446 . Bishan Yang and Tom M. Mitchell. 2017. Leveraging Knowledge Bases in LSTMs for Improving Machine Reading.. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vol. 1. 1436-1446."},{"key":"e_1_3_2_1_24_1","volume-title":"Embedding Entities and Relations for Learning and Inference in Knowledge Bases. international conference on learning representations","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang , Wen tau Yih , Xiaodong He , Jianfeng Gao , and Li Deng . 2015 . Embedding Entities and Relations for Learning and Inference in Knowledge Bases. international conference on learning representations (2015). Bishan Yang, Wen tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. international conference on learning representations (2015)."},{"key":"e_1_3_2_1_25_1","unstructured":"Xiaowang Zhang Mingyue Zhang Peng Peng Jiaming Song Zhiyong Feng and Lei Zou. 2018. gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing. arXiv preprint arXiv:1807.07691(2018).  Xiaowang Zhang Mingyue Zhang Peng Peng Jiaming Song Zhiyong Feng and Lei Zou. 2018. gSMat: A Scalable Sparse Matrix-based Join for SPARQL Query Processing. arXiv preprint arXiv:1807.07691(2018)."},{"key":"e_1_3_2_1_26_1","volume-title":"Modeling Polypharmacy Side Effects with Graph Convolutional Networks. intelligent systems in molecular biology34, 13","author":"Zitnik Marinka","year":"2018","unstructured":"Marinka Zitnik , Monica Agrawal , and Jure Leskovec . 2018. Modeling Polypharmacy Side Effects with Graph Convolutional Networks. intelligent systems in molecular biology34, 13 ( 2018 ), 258814. Marinka Zitnik, Monica Agrawal, and Jure Leskovec. 2018. Modeling Polypharmacy Side Effects with Graph Convolutional Networks. intelligent systems in molecular biology34, 13 (2018), 258814."}],"event":{"name":"WWW '19: The Web Conference","location":"San Francisco CA USA","acronym":"WWW '19","sponsor":["IW3C2 International World Wide Web Conference Committee"]},"container-title":["The World Wide Web Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313550","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3308558.3313550","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:20Z","timestamp":1750204400000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3308558.3313550"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,13]]},"references-count":26,"alternative-id":["10.1145\/3308558.3313550","10.1145\/3308558"],"URL":"https:\/\/doi.org\/10.1145\/3308558.3313550","relation":{},"subject":[],"published":{"date-parts":[[2019,5,13]]},"assertion":[{"value":"2019-05-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}