Jay Pujara

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Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Xiang RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
Pedro SzekelyPrincipal Applied Scientist at Amazon AlexaVerified email at amazon.com
William W. CohenGoogle AIVerified email at google.com
Hui MiaoGoogleVerified email at google.com
Pei ZhouUniversity of Southern CaliforniaVerified email at usc.edu
Craig A. KnoblockKeston Executive Director, USC Information Sciences InstituteVerified email at isi.edu
Pigi KoukiRelational AIVerified email at relational.ai
Binh VuUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
John O'DonovanTeladoc Health Inc. and Computer Science Dept., University of California, Santa BarbaraVerified email at cs.ucsb.edu
J. David Schafferbinghamton universityVerified email at binghamton.edu
Filip IlievskiUSC Information Sciences InstituteVerified email at isi.edu
Yuchen LinAllen Institute for AI (AI2)Verified email at allenai.org
Dong-Ho LeeUniversity of Southern CaliforniaVerified email at usc.edu
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Avijit ThawaniUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Kexuan SunPhD student, University of Southern CaliforniaVerified email at usc.edu
Muhao ChenAssistant Research Professor of Computer Science, USCVerified email at ucla.edu
Behnam HedayatniaAmazonVerified email at amazon.com
Karthik GopalakrishnanAmazonVerified email at gatech.edu

Jay Pujara

Research Assistant Professor, University of Southern California

Verified email at cs.umd.edu - Homepage

Machine Learning Knowledge Graphs Efficient Prediction


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Knowledge Graph Identification J Pujara, H Miao, L Getoor, W Cohen International Semantic Web Conference, 2013	388	2013
Personalized Explanations for Hybrid Recommender Systems P Kouki, J Schaffer, J Pujara, J O’Donovan, L Getoor Proceedings of the 24th International Conference on Intelligent User …, 2019	133	2019
Real-time ad-hoc spam filtering of email J Pujara US Patent 8,069,128, 2011	106	2011
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short J Pujara, E Augustine, L Getoor Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017	95	2017
User Preferences for Hybrid Explanations P Kouki, J Pujara, J O’Donovan, L Getoor 11th ACM Conference on Recommender Systems (RecSys’ 17), 2017	73	2017
Representing Numbers in NLP: a Survey and a Vision A Thawani, J Pujara, PA Szekely, F Ilievski arXiv preprint arXiv:2103.13136, 2021	55	2021
Employing pixel density to detect a spam image K Wei, H Zheng, J Pujara US Patent 7,882,177, 2011	53	2011
Identifying IP addresses for spammers J Choi, J Pujara, VT Ramarao, K Wei US Patent 7,849,146, 2010	41	2010
Collective entity resolution in familial networks P Kouki, J Pujara, C Marcum, L Koehly, L Getoor 2017 IEEE International Conference on Data Mining (ICDM), 227-236, 2017	33	2017
Tabular Cell Classification Using Pre-Trained Cell Embeddings MG Gol, J Pujara, P Szekely 2019 IEEE International Conference on Data Mining (ICDM), 230-239, 2019	32	2019
Entity Linking to Knowledge Graphs to Infer Column Types and Properties A Thawani, M Hu, E Hu, H Zafar, NT Divvala, A Singh, E Qasemi, ... SemTab, ISWC Challenge 2553, 2019	31	2019
Ontology-Aware Partitioning for Knowledge Graph Identification J Pujara, H Miao, L Getoor, WW Cohen Proceedings of the 2013 workshop on Automated knowledge base construction, 19-24, 2013	30	2013
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources N Mehrabi, P Zhou, F Morstatter, J Pujara, X Ren, A Galstyan arXiv preprint arXiv:2103.11320, 2021	29	2021
Using Classifier Cascades for Scalable E-mail Classification J Pujara, H Daumé III, L Getoor Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti …, 2011	29	2011
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms P Zhou, R Khanna, S Lee, BY Lin, D Ho, J Pujara, X Ren Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021	28*	2021
Mining Knowledge Graphs From Text J Pujara, S Singh Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018	26	2018
Using Semantics and Statistics to Turn Data into Knowledge. J Pujara, H Miao, L Getoor, WW Cohen AI Magazine 36 (1), 65-74, 2015	26	2015
Probabilistic Visitor Stitching on Cross-Device Web Logs S Kim, N Kini, J Pujara, E Koh, L Getoor Proceedings of the 26th International Conference on World Wide Web, 1581-1589, 2017	25	2017
Social group modeling with probabilistic soft logic B Huang, SH Bach, E Norris, J Pujara, L Getoor NIPS Workshop on Social Network and Social Media Analysis: Methods, Models …, 2012	23	2012
Retrieving Complex Tables with Multi-Granular Graph Representation Learning F Wang, K Sun, M Chen, J Pujara, P Szekely arXiv preprint arXiv:2105.01736, 2021	22	2021

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