| Turboiso towards ultrafast and robust subgraph isomorphism search in large graph databases WS Han, J Lee, JH Lee Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 395 | 2013 |
| An in-depth comparison of subgraph isomorphism algorithms in graph databases J Lee, WS Han, R Kasperovics, JH Lee Proceedings of the VLDB Endowment 6 (2), 133-144, 2012 | 355 | 2012 |
| TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC WS Han, S Lee, K Park, JH Lee, MS Kim, J Kim, H Yu Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 277 | 2013 |
| General match: a subsequence matching method in time-series databases based on generalized windows YS Moon, KY Whang, WS Han Proceedings of the 2002 ACM SIGMOD international conference on Management of …, 2002 | 235 | 2002 |
| Inverted index storage structure using subindexes and large objects for tight coupling of information retrieval with database management systems KY Whang, BK Park, WS Han, YK Lee US Patent 6,349,308, 2002 | 168 | 2002 |
| iGraph: a framework for comparisons of disk-based graph indexing techniques WS Han, J Lee, MD Pham, JX Yu Proceedings of the VLDB Endowment 3 (1-2), 449-459, 2010 | 132 | 2010 |
| Ranked subsequence matching in time-series databases WS Han, J Lee, YS Moon, H Jiang Proceedings of the 33rd international conference on Very large data bases …, 2007 | 107 | 2007 |
| Efficient subgraph matching: Harmonizing dynamic programming, adaptive matching order, and failing set together M Han, H Kim, G Gu, K Park, WS Han Proceedings of the 2019 International Conference on Management of Data, 1429 …, 2019 | 102 | 2019 |
| The G* graph database: efficiently managing large distributed dynamic graphs AG Labouseur, J Birnbaum, PW Olsen, SR Spillane, J Vijayan, JH Hwang, ... Distributed and Parallel Databases 33, 479-514, 2015 | 87 | 2015 |
| Taming subgraph isomorphism for RDF query processing J Kim, H Shin, WS Han, S Hong, H Chafi arXiv preprint arXiv:1506.01973, 2015 | 83 | 2015 |
| Parallelizing query optimization WS Han, W Kwak, J Lee, GM Lohman, V Markl Proceedings of the VLDB Endowment 1 (1), 188-200, 2008 | 63 | 2008 |
| DUALSIM: Parallel subgraph enumeration in a massive graph on a single machine H Kim, J Lee, SS Bhowmick, WS Han, JH Lee, S Ko, MHA Jarrah Proceedings of the 2016 International Conference on Management of Data, 1231 …, 2016 | 62 | 2016 |
| Natural language to SQL: Where are we today? H Kim, BH So, WS Han, H Lee Proceedings of the VLDB Endowment 13 (10), 1737-1750, 2020 | 61 | 2020 |
| Developing a hybrid dictionary-based bio-entity recognition technique M Song, H Yu, WS Han BMC medical informatics and decision making 15 (1), 1-8, 2015 | 59 | 2015 |
| Mapping-driven XML transformation H Jiang, H Ho, L Popa, WS Han Proceedings of the 16th international conference on World Wide Web, 1063-1072, 2007 | 58 | 2007 |
| Fast and robust parallel SGD matrix factorization J Oh, WS Han, H Yu, X Jiang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 51 | 2015 |
| OPT: A new framework for overlapped and parallel triangulation in large-scale graphs J Kim, WS Han, S Lee, K Park, H Yu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 51 | 2014 |
| TurboGraph++ A scalable and fast graph analytics system S Ko, WS Han Proceedings of the 2018 international conference on management of data, 395-410, 2018 | 49 | 2018 |
| Odysseus: a high-performance ORDBMS tightly-coupled with IR features KY Whang, MJ Lee, JG Lee, MS Kim, WS Han 21st International Conference on Data Engineering (ICDE'05), 1104-1105, 2005 | 49 | 2005 |
| Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS H Yu, T Kim, J Oh, I Ko, S Kim, WS Han Proceedings of the third international workshop on Data and text mining in …, 2009 | 48 | 2009 |
