Certus: an effective entity resolution approach with graph differential dependencies (GDDs) S Kwashie, J Liu, J Li, L Liu, M Stumptner, L Yang Proceedings of the VLDB Endowment 12 (6), 653-666, 2019 | 41 | 2019 |
A graph is worth a thousand words: Telling event stories using timeline summarization graphs J Ansah, L Liu, W Kang, S Kwashie, J Li, J Li The World Wide Web Conference, 2565-2571, 2019 | 34 | 2019 |
Mining differential dependencies: A subspace clustering approach S Kwashie, J Liu, J Li, F Ye Databases Theory and Applications: 25th Australasian Database Conference …, 2014 | 17 | 2014 |
Efficient discovery of differential dependencies through association rules mining S Kwashie, J Liu, J Li, F Ye Databases Theory and Applications: 26th Australasian Database Conference …, 2015 | 16 | 2015 |
A Schema-Driven Synthetic Knowledge Graph Generation Approach With Extended Graph Differential Dependencies (GDDxs) Z Feng, W Mayer, K He, S Kwashie, M Stumptner, G Grossmann, R Peng, ... IEEE Access 9, 5609-5639, 2020 | 13 | 2020 |
Conditional differential dependencies (CDDs) S Kwashie, J Liu, J Li, F Ye East European Conference on Advances in Databases and Information Systems, 3-17, 2015 | 12 | 2015 |
FASTAGEDS: fast approximate graph entity dependency discovery G Zhou, S Kwashie, Y Zhang, M Bewong, VM Nofong, J Hu, D Cheng, ... International Conference on Web Information Systems Engineering, 451-465, 2023 | 6 | 2023 |
An efficient approach for discovering graph entity dependencies (GEDs) D Liu, S Kwashie, Y Zhang, G Zhou, M Bewong, X Wu, X Guo, K He, ... Information Systems 125, 102421, 2024 | 4 | 2024 |
Discovery of approximate differential dependencies J Liu, S Kwashie, J Li, F Ye, M Vincent arXiv preprint arXiv:1309.3733, 2013 | 4 | 2013 |
Datm: a novel data agnostic topic modeling technique with improved effectiveness for both short and long text M Bewong, J Wondoh, S Kwashie, J Liu, L Liu, J Li, MZ Islam, D Kernot IEEE Access 11, 32826-32841, 2023 | 3 | 2023 |
Towards Efficient Discovery of Target High Utility Itemsets VM Nofong, PO Okai, H Abdel-Fatao, S Kwashie, M Bewong, J Wondoh 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 517-526, 2022 | 3 | 2022 |
An Effective Correlated High Utility Itemset Mining Algorithm P Okai, VM Nofong, S Kwashie, M Bewong 28th Pacific Asia Conference on Knowledge Discovery and Data Mining …, 2024 | 2 | 2024 |
Discovering Graph Differential Dependencies Y Zhang, S Kwashie, M Bewong, J Hu, A Mahboubi, X Guo, Z Feng Australasian Database Conference, 259-272, 2023 | 2 | 2023 |
ASMaaS: Automatic Semantic Modeling as a Service Z Feng, W Mayer, M Stumptner, G Grossmann, S Kwashie, D Ning, K He 2021 IEEE World Congress on Services (SERVICES), 33-40, 2021 | 2 | 2021 |
Linking graph entities with multiplicity and provenance J Liu, S Kwashie, J Li, L Liu, M Bewong arXiv preprint arXiv:1908.04464, 2019 | 2 | 2019 |
MAPX: An Explainable Model-Agnostic Framework for Detecting False Information on Social Media Networks S Condran, M Bewong, S Kwashie, MZ Islam, I Altas, J Condran International Conference on Web Information Systems Engineering, 116-127, 2025 | | 2025 |
GIG: Graph Data Imputation With Graph Differential Dependencies J Hua, M Bewong, S Kwashie, MD Rahman, J Hu, X Guo, Z Fen arXiv preprint arXiv:2410.15747, 2024 | | 2024 |
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction J Hu, M Bewong, S Kwashie, W Zhang, VM Nofong, G Wu, Z Feng arXiv preprint arXiv:2411.00801, 2024 | | 2024 |
When GDD meets GNN: A Knowledge-driven Neural Connection for Effective Entity Resolution in Property Graphs J Hu, M Bewong, S Kwashie, Y Zhang, V Nofong, J Wondoh, Z Feng arXiv preprint arXiv:2410.04783, 2024 | | 2024 |
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift OB Deho, M Bewong, S Kwashie, J Li, J Liu, L Liu, S Joksimovic arXiv preprint arXiv:2409.12428, 2024 | | 2024 |