7 papers
XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs
Xinyang Chen, Huidong Jin, Yu Huang +1
Despite the prevalent assumption of uniform variable importance in long-term time series forecasting models, real world applications often exhibit asymmetric causal relationships a…
FastER: On-Demand Entity Resolution in Property Graphs
Shujing Wang, Sibo Zhao, Shiqi Miao +5
Entity resolution (ER) is the problem of identifying and linking database records that refer to the same real-world entity. Traditional ER methods use batch processing, which becom…
RAE: A Rule-Driven Approach for Attribute Embedding in Property Graph Recommendation
Sibo Zhao, Michael Bewong, Selasi Kwashie +2
Recommendation systems are crucial in modern applications to enhance the user experience and drive business conversion rates through personalization. However, insufficient utilizat…
Knowledge prompt chaining for semantic modeling
Ning Pei Ding, Jingge Du, Zaiwen Feng
The task of building semantics for structured data such as CSV, JSON, and XML files is highly relevant in the knowledge representation field. Even though we have a vast of structur…
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…