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Robust Entity Resolution using Random Graphs

Summary: Robust ER via a binary oracle, using expander-based control queries on random graphs to guide merges under noise. Formal guarantees and experiments show a correction-free ER toolkit outperforms recent error-correcting ER methods on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5476
Venue
SIGMOD
Year
2018
Pagerank
4.4916115e-05
Overall Rank
8,503 | 40.91%
DOI
10.1145/3183713.3183755

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Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
265 CrowdER: Crowdsourcing Entity Resolution 2012 VLDB 0.00029904018
641 Corleone: Hands-Off Crowdsourcing for Entity Matching 2014 SIGMOD 0.00018759417
799 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00016479804
863 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00015793243
1,242 Question Selection for Crowd Entity Resolution 2013 VLDB 0.00013088272
1,408 Entity Resolution with Iterative Blocking 2009 SIGMOD 0.00012162791
1,842 Crowdsourcing Algorithms for Entity Resolution 2014 VLDB 0.00010342022
4,101 Online Entity Resolution Using an Oracle 2016 VLDB 6.4462498e-05
4,112 Waldo: An Adaptive Human Interface for Crowd Entity Resolution 2017 SIGMOD 6.4329055e-05
4,380 Incremental Record Linkage 2014 VLDB 6.2325868e-05
5,369 Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach 2016 SIGMOD 5.5436995e-05
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