1 citations · 1 across the 10 of their papers we have counts for
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GIG: Graph Data Imputation With Graph Differential Dependencies
Jiang Hua, Michael Bewong, Selasi Kwashie +4
Data imputation addresses the challenge of imputing missing values in database instances, ensuring consistency with the overall semantics of the dataset. Although several heuristic…
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
Junwei Hu, Michael Bewong, Selasi Kwashie +4
Drug-target interaction (DTI) prediction is crucial for drug development and repositioning. Methods using heterogeneous graph neural networks (HGNNs) for DTI prediction have become…
When GDD meets GNN: A Knowledge-driven Neural Connection for Effective Entity Resolution in Property Graphs
Junwei Hu, Michael Bewong, Selasi Kwashie +4
This paper studies the entity resolution (ER) problem in property graphs. ER is the task of identifying and linking different records that refer to the same real-world entity. It i…
Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
Oscar Blessed Deho, Michael Bewong, Selasi Kwashie +4
Over the last few decades, machine learning (ML) applications have grown exponentially, yielding several benefits to society. However, these benefits are tempered with concerns of…