About
Contact & Profiles
A5073178764
Research Areas
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
- Bioinformatics and Genomic Networks
- Data Quality and Management
- Topic Modeling
- Complex Network Analysis Techniques
- Data Stream Mining Techniques
- Privacy-Preserving Technologies in Data
The University of Western Australia
2024
Question answering over temporal knowledge graphs (TKGs) is crucial for understanding evolving facts and relationships, yet its development hindered by limited datasets difficulties in generating custom QA pairs. We propose a novel categorization framework based on timeline-context along with \textbf{TimelineKGQA}, universal generator applicable to any TKGs. The code available at: \url{https://github.com/PascalSun/TimelineKGQA} as an open source Python package.
10.48550/arxiv.2501.04343
preprint
EN
arXiv (Cornell University)
2025-01-08
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