{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T09:05:11Z","timestamp":1775639111146,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":57,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T00:00:00Z","timestamp":1623196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1423238"],"award-info":[{"award-number":["IIS-1423238"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008536","name":"Amazon Web Services","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008536","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002418","name":"Intel Corporation","doi-asserted-by":"publisher","award":["AI DevCloud Program"],"award-info":[{"award-number":["AI DevCloud Program"]}],"id":[{"id":"10.13039\/100002418","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,6,9]]},"DOI":"10.1145\/3448016.3457275","type":"proceedings-article","created":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T17:22:39Z","timestamp":1624036959000},"page":"1440-1451","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Scalable and Usable Relational Learning With Automatic Language Bias"],"prefix":"10.1145","author":[{"given":"Jose","family":"Picado","sequence":"first","affiliation":[{"name":"Oregon State University, Corvallis, OR, USA"}]},{"given":"Arash","family":"Termehchy","sequence":"additional","affiliation":[{"name":"Oregon State University, Corvallis, OR, USA"}]},{"given":"Alan","family":"Fern","sequence":"additional","affiliation":[{"name":"Oregon State University, Corvallis, OR, USA"}]},{"given":"Sudhanshu","family":"Pathak","sequence":"additional","affiliation":[{"name":"Oregon State University, Corvallis, OR, USA"}]},{"given":"Praveen","family":"Ilango","sequence":"additional","affiliation":[{"name":"Oregon State University, Corvallis, OR, USA"}]},{"given":"John","family":"Davis","sequence":"additional","affiliation":[{"name":"Oregon State University, Corvallis, OR, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,6,18]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-015-0389-y"},{"key":"e_1_3_2_2_2_1","volume-title":"Foundations of Databases: The Logical Level","author":"Abiteboul Serge","unstructured":"Serge Abiteboul , Richard Hull , and Victor Vianu . 1994. Foundations of Databases: The Logical Level . Addison-Wesley . Serge Abiteboul, Richard Hull, and Victor Vianu. 1994. Foundations of Databases: The Logical Level. Addison-Wesley."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Azza Abouzeid Dana Angluin Christos H. Papadimitriou Joseph M. Hellerstein and Abraham Silberschatz. 2013. Learning and verifying quantified boolean queries by example. In PODS.  Azza Abouzeid Dana Angluin Christos H. Papadimitriou Joseph M. Hellerstein and Abraham Silberschatz. 2013. Learning and verifying quantified boolean queries by example. In PODS.","DOI":"10.1145\/2463664.2465220"},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the 25th International Conference on World Wide Web (WWW '16). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 239--249","author":"Arenas Marcelo","unstructured":"Marcelo Arenas , Gonzalo I. Diaz , and Egor V. Kostylev . 2016. Reverse Engineering SPARQL Queries . In Proceedings of the 25th International Conference on World Wide Web (WWW '16). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 239--249 . https:\/\/doi.org\/10.1145\/2872427.2882989 10.1145\/2872427.2882989 Marcelo Arenas, Gonzalo I. Diaz, and Egor V. Kostylev. 2016. Reverse Engineering SPARQL Queries. In Proceedings of the 25th International Conference on World Wide Web (WWW '16). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 239--249. https:\/\/doi.org\/10.1145\/2872427.2882989"},{"key":"e_1_3_2_2_5_1","volume-title":"PLDI '15 Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation pldi 2015 ed.). Microsoft Research Technical Report. Distinguished Artifact Award.","author":"Barowy Daniel W.","year":"2014","unstructured":"Daniel W. Barowy , Sumit Gulwani , Ted Hart , and Ben Zorn . 2014 . FlashRelate: Extracting Relational Data from Semi-Structured Spreadsheets Using Examples . In PLDI '15 Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation pldi 2015 ed.). Microsoft Research Technical Report. Distinguished Artifact Award. Daniel W. Barowy, Sumit Gulwani, Ted Hart, and Ben Zorn. 2014. FlashRelate: Extracting Relational Data from Semi-Structured Spreadsheets Using Examples. In PLDI '15 Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation pldi 2015 ed.). Microsoft Research Technical Report. Distinguished Artifact Award."},{"key":"e_1_3_2_2_6_1","unstructured":"Peter Battaglia Jessica Blake Chandler Hamrick Victor Bapst Alvaro Sanchez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner Caglar Gulcehre Francis Song Andy Ballard Justin Gilmer George E. Dahl Ashish Vaswani Kelsey Allen Charles Nash Victoria Jayne Langston Chris Dyer Nicolas Heess Daan Wierstra Pushmeet Kohli Matt Botvinick Oriol Vinyals Yujia Li and Razvan Pascanu. 2018. Relational inductive biases deep learning and graph networks. arXiv (2018). https:\/\/arxiv.org\/pdf\/1806.01261.pdf  Peter Battaglia Jessica Blake Chandler Hamrick Victor Bapst Alvaro Sanchez Vinicius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner Caglar Gulcehre Francis Song Andy Ballard Justin Gilmer George E. Dahl Ashish Vaswani Kelsey Allen Charles Nash Victoria Jayne Langston Chris Dyer Nicolas Heess Daan Wierstra Pushmeet Kohli Matt Botvinick Oriol Vinyals Yujia Li and Razvan Pascanu. 2018. Relational inductive biases deep learning and graph networks. arXiv (2018). https:\/\/arxiv.org\/pdf\/1806.01261.pdf"},{"key":"e_1_3_2_2_7_1","first-page":"1","article-title":"Logic and Learning (Dagstuhl Seminar 19361)","volume":"9","author":"Benedikt Michael","year":"2019","unstructured":"Michael Benedikt , Kristian Kersting , Phokion G. Kolaitis , and Daniel Neider . 2019 . Logic and Learning (Dagstuhl Seminar 19361) . Dagstuhl Reports , Vol. 9 , 9 (2019), 1 -- 22 . https:\/\/doi.org\/10.4230\/DagRep.9.9.1 10.4230\/DagRep.9.9.1 Michael Benedikt, Kristian Kersting, Phokion G. Kolaitis, and Daniel Neider. 2019. Logic and Learning (Dagstuhl Seminar 19361). Dagstuhl Reports, Vol. 9, 9 (2019), 1--22. https:\/\/doi.org\/10.4230\/DagRep.9.9.1","journal-title":"Dagstuhl Reports"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2818637"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3321485"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3316416.3316418"},{"key":"e_1_3_2_2_11_1","volume-title":"SIGMOD Conference.","author":"Chaudhuri Surajit","unstructured":"Surajit Chaudhuri , Rajeev Motwani , and Vivek R. Narasayya . 1999. On Random Sampling over Joins . In SIGMOD Conference. Surajit Chaudhuri, Rajeev Motwani, and Vivek R. Narasayya. 1999. On Random Sampling over Joins. In SIGMOD Conference."},{"key":"e_1_3_2_2_12_1","volume-title":"8th International Conference on Learning Representations, ICLR 2020","author":"Cohen William W.","year":"2020","unstructured":"William W. Cohen , Haitian Sun , R. Alex Hofer , and Matthew Siegler . 2020 . Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base . In 8th International Conference on Learning Representations, ICLR 2020 , Addis Ababa, Ethiopia, April 26--30 , 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=BJlguT4YPr William W. Cohen, Haitian Sun, R. Alex Hofer, and Matthew Siegler. 2020. Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26--30, 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=BJlguT4YPr"},{"key":"e_1_3_2_2_13_1","volume-title":"Logical and Relational Learning","author":"Raedt Luc De","unstructured":"Luc De Raedt . 2010. Logical and Relational Learning 1 st ed.). Springer Publishing Company, Inc orporated. Luc De Raedt. 2010. Logical and Relational Learning 1st ed.). Springer Publishing Company, Incorporated.","edition":"1"},{"key":"e_1_3_2_2_14_1","volume-title":"EDBT 2019","author":"Deutch Daniel","year":"2019","unstructured":"Daniel Deutch and Amir Gilad . 2019 . Reverse-Engineering Conjunctive Queries from Provenance Examples. In Advances in Database Technology - 22nd International Conference on Extending Database Technology , EDBT 2019 , Lisbon, Portugal, March 26--29 , 2019, Melanie Herschel, Helena Galhardas, Berthold Reinwald, Irini Fundulaki, Carsten Binnig, and Zoi Kaoudi (Eds.). OpenProceedings.org, 277--288. https:\/\/doi.org\/10.5441\/002\/edbt.2019.25 10.5441\/002 Daniel Deutch and Amir Gilad. 2019. Reverse-Engineering Conjunctive Queries from Provenance Examples. In Advances in Database Technology - 22nd International Conference on Extending Database Technology, EDBT 2019, Lisbon, Portugal, March 26--29, 2019, Melanie Herschel, Helena Galhardas, Berthold Reinwald, Irini Fundulaki, Carsten Binnig, and Zoi Kaoudi (Eds.). OpenProceedings.org, 277--288. https:\/\/doi.org\/10.5441\/002\/edbt.2019.25"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3199515"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/3241691.3241692"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.14778\/3342263.3342266"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-015-0394-1"},{"key":"e_1_3_2_2_19_1","volume-title":"Database Systems: The Complete Book","author":"Garcia-Molina Hector","year":"2008","unstructured":"Hector Garcia-Molina , Jeff Ullman , and Jennifer Widom . 2008 . Database Systems: The Complete Book . Prentice Hall . Hector Garcia-Molina, Jeff Ullman, and Jennifer Widom. 2008. Database Systems: The Complete Book. Prentice Hall."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"Lise Getoor and Ashwin Machanavajjhala. 2013. Entity resolution for big data. In KDD.  Lise Getoor and Ashwin Machanavajjhala. 2013. Entity resolution for big data. In KDD.","DOI":"10.1145\/2487575.2506179"},{"key":"e_1_3_2_2_21_1","volume-title":"Introduction to Statistical Relational Learning","author":"Getoor Lise","unstructured":"Lise Getoor and Ben Taskar . 2007. Introduction to Statistical Relational Learning . MIT Press . Lise Getoor and Ben Taskar. 2007. Introduction to Statistical Relational Learning .MIT Press."},{"key":"e_1_3_2_2_22_1","volume-title":"CACM","volume":"60","author":"Gulwani Sumit","year":"2017","unstructured":"Sumit Gulwani . 2017 . Research for Practice: Programming by Examples. Research for Practice , CACM , Vol. 60 (July 2017), 46--49. https:\/\/www.microsoft.com\/en-us\/research\/publication\/research-practice-programming-examples\/ Sumit Gulwani. 2017. Research for Practice: Programming by Examples. Research for Practice, CACM, Vol. 60 (July 2017), 46--49. https:\/\/www.microsoft.com\/en-us\/research\/publication\/research-practice-programming-examples\/"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3148011.3148027"},{"key":"e_1_3_2_2_24_1","volume-title":"Proceedings of the Nineteenth International Conference (ICML 2002","author":"David","year":"2002","unstructured":"David D. Jensen and Jennifer Neville. 2002. Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. In Machine Learning , Proceedings of the Nineteenth International Conference (ICML 2002 ), University of New South Wales, Sydney, Australia, July 8--12 , 2002 . 259--266. David D. Jensen and Jennifer Neville. 2002. Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. In Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8--12, 2002. 259--266."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3064034"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3183727"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3183727"},{"key":"e_1_3_2_2_28_1","unstructured":"Angelika Kimmig David Poole and Jay Pujara. 2020. Statistical Relational AI (StarAI) WorkShop. In AAAI.  Angelika Kimmig David Poole and Jay Pujara. 2020. Statistical Relational AI (StarAI) WorkShop. In AAAI."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/2366284.2366290"},{"key":"e_1_3_2_2_30_1","volume-title":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","author":"Lao Ni","unstructured":"Ni Lao , Einat Minkov , and William Cohen . 2015. Learning Relational Features with Backward Random Walks . In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics , Beijing, China , 666--675. https:\/\/doi.org\/10.3115\/v1\/P15--1065 10.3115\/v1 Ni Lao, Einat Minkov, and William Cohen. 2015. Learning Relational Features with Backward Random Walks. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Beijing, China, 666--675. https:\/\/doi.org\/10.3115\/v1\/P15--1065"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.14778\/2831360.2831369"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Marcin Malec Tushar Khot James Nagy Erik Blasch and Sriraam Natarajan. 2016. Inductive logic programming meets relational databases: An application to statistical relational learning. In ILP.  Marcin Malec Tushar Khot James Nagy Erik Blasch and Sriraam Natarajan. 2016. Inductive logic programming meets relational databases: An application to statistical relational learning. In ILP.","DOI":"10.1007\/978-3-319-63342-8_2"},{"key":"e_1_3_2_2_34_1","volume-title":"Australian Joint Conference on AI.","author":"Mccreath Eric","year":"1995","unstructured":"Eric Mccreath and Arun Sharma . 1995 . Extraction of Meta-Knowledge to Restrict the Hypothesis Space for ILP Systems . In Australian Joint Conference on AI. Eric Mccreath and Arun Sharma. 1995. Extraction of Meta-Knowledge to Restrict the Hypothesis Space for ILP Systems. In Australian Joint Conference on AI."},{"key":"e_1_3_2_2_35_1","volume-title":"Mooney","author":"Mihalkova Lilyana","year":"2007","unstructured":"Lilyana Mihalkova and Raymond J . Mooney . 2007 . Bottom-up learning of Markov logic network structure. In ICML. Lilyana Mihalkova and Raymond J. Mooney. 2007. Bottom-up learning of Markov logic network structure. In ICML."},{"key":"e_1_3_2_2_36_1","unstructured":"Tom Mitchell. 1997. Machine Learning .McGraw-Hil.  Tom Mitchell. 1997. Machine Learning .McGraw-Hil."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF03037227"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5259-2"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"crossref","unstructured":"Stephen Muggleton Jose Santos and Alireza Tamaddoni-Nezhad. 2009. ProGolem: A System Based on Relative Minimal Generalisation. In ILP.  Stephen Muggleton Jose Santos and Alireza Tamaddoni-Nezhad. 2009. ProGolem: A System Based on Relative Minimal Generalisation. In ILP.","DOI":"10.1007\/978-3-642-13840-9_13"},{"key":"e_1_3_2_2_40_1","volume-title":"5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24--26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=ry2YOrcge","author":"Neelakantan Arvind","year":"2017","unstructured":"Arvind Neelakantan , Quoc V. Le , Mart'i n Abadi , Andrew McCallum , and Dario Amodei . 2017 . Learning a Natural Language Interface with Neural Programmer . In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24--26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=ry2YOrcge Arvind Neelakantan, Quoc V. Le, Mart'i n Abadi, Andrew McCallum, and Dario Amodei. 2017. Learning a Natural Language Interface with Neural Programmer. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24--26, 2017, Conference Track Proceedings. OpenReview.net. https:\/\/openreview.net\/forum?id=ry2YOrcge"},{"key":"e_1_3_2_2_41_1","volume-title":"Neural Programmer: Inducing Latent Programs with Gradient Descent. In 4th International Conference on Learning Representations, ICLR","author":"Neelakantan Arvind","year":"2016","unstructured":"Arvind Neelakantan , Quoc V. Le , and Ilya Sutskever . 2016 . Neural Programmer: Inducing Latent Programs with Gradient Descent. In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico , May 2--4, 2016, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds .). http:\/\/arxiv.org\/abs\/1511.04834 Arvind Neelakantan, Quoc V. Le, and Ilya Sutskever. 2016. Neural Programmer: Inducing Latent Programs with Gradient Descent. In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2--4, 2016, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1511.04834"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.14778\/2752939.2752946"},{"key":"e_1_3_2_2_44_1","volume-title":"Schema Independent Relational Learning. In SIGMOD Conference.","author":"Picado Jose","year":"2017","unstructured":"Jose Picado , Arash Termehchy , and Alan Fern . 2017 . Schema Independent Relational Learning. In SIGMOD Conference. Jose Picado, Arash Termehchy, and Alan Fern. 2017. Schema Independent Relational Learning. In SIGMOD Conference."},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00117105"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","unstructured":"Luc De Raedt David Poole Kristian Kersting and Sriraam Natarajan. 2017. Statistical Relational Artificial Intelligence: Logic Probability and Computation. In NeurIPS.  Luc De Raedt David Poole Kristian Kersting and Sriraam Natarajan. 2017. Statistical Relational Artificial Intelligence: Logic Probability and Computation. In NeurIPS.","DOI":"10.1007\/978-3-031-01574-8"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137628.3137631"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-5833-1"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137628.3137648"},{"key":"e_1_3_2_2_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/2539032.2539035"},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3044712"},{"key":"e_1_3_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196959.3196974"},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21295-6_28"},{"key":"e_1_3_2_2_54_1","volume-title":"Cohen","author":"Wang William Yang","year":"2015","unstructured":"William Yang Wang and William W . Cohen . 2015 . Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26--31, 2015, Beijing, China, Volume 1: Long Papers. The Association for Computer Linguistics, 355--364. https:\/\/doi.org\/10.3115\/v1\/p15--1035 10.3115\/v1 William Yang Wang and William W. Cohen. 2015. Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26--31, 2015, Beijing, China, Volume 1: Long Papers. The Association for Computer Linguistics, 355--364. https:\/\/doi.org\/10.3115\/v1\/p15--1035"},{"key":"e_1_3_2_2_55_1","volume-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016","author":"Wang William Yang","year":"2016","unstructured":"William Yang Wang and William W. Cohen . 2016. Learning First-Order Logic Embeddings via Matrix Factorization . In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016 , New York, NY, USA, 9- -15 July 2016 , Subbarao Kambhampati (Ed.). IJCAI\/AAAI Press, 2132--2138. http:\/\/www.ijcai.org\/Abstract\/16\/304 William Yang Wang and William W. Cohen. 2016. Learning First-Order Logic Embeddings via Matrix Factorization. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9--15 July 2016, Subbarao Kambhampati (Ed.). IJCAI\/AAAI Press, 2132--2138. http:\/\/www.ijcai.org\/Abstract\/16\/304"},{"key":"e_1_3_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294992"},{"key":"e_1_3_2_2_57_1","volume-title":"Yu","author":"Yin Xiaoxin","year":"2004","unstructured":"Xiaoxin Yin , Jiawei Han , Jiong Yang , and Philip S . Yu . 2004 . CrossMine: efficient classification across multiple database relations. ICDE ( 2004), 399--410. Xiaoxin Yin, Jiawei Han, Jiong Yang, and Philip S. Yu. 2004. CrossMine: efficient classification across multiple database relations. ICDE (2004), 399--410."},{"key":"e_1_3_2_2_58_1","first-page":"197","article-title":"QuickFOIL","volume":"8","author":"Zeng Qiang","year":"2014","unstructured":"Qiang Zeng , Jignesh M. Patel , and David Page . 2014 . QuickFOIL : Scalable Inductive Logic Programming. PVLDB , Vol. 8 (2014), 197 -- 208 . Qiang Zeng, Jignesh M. Patel, and David Page. 2014. QuickFOIL: Scalable Inductive Logic Programming. PVLDB, Vol. 8 (2014), 197--208.","journal-title":"Scalable Inductive Logic Programming. PVLDB"},{"key":"e_1_3_2_2_59_1","doi-asserted-by":"crossref","unstructured":"Zhuoyue Zhao Robert Christensen Feifei Li Xiao Hu and Ke Yi. 2018. Random Sampling over Joins Revisited. In SIGMOD.  Zhuoyue Zhao Robert Christensen Feifei Li Xiao Hu and Ke Yi. 2018. Random Sampling over Joins Revisited. In SIGMOD.","DOI":"10.1145\/3183713.3183739"}],"event":{"name":"SIGMOD\/PODS '21: International Conference on Management of Data","location":"Virtual Event China","acronym":"SIGMOD\/PODS '21","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 2021 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448016.3457275","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448016.3457275","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3448016.3457275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:06Z","timestamp":1750195686000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3448016.3457275"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,9]]},"references-count":57,"alternative-id":["10.1145\/3448016.3457275","10.1145\/3448016"],"URL":"https:\/\/doi.org\/10.1145\/3448016.3457275","relation":{},"subject":[],"published":{"date-parts":[[2021,6,9]]},"assertion":[{"value":"2021-06-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}