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publications
Transformers for Complex Query Answering over Knowledge Hypergraphs
Published in Arxiv, 2025
The study introduces two new CQA datasets, JF17k-HCQA and M-FB15k-HCQA, to better model complex real-world data using knowledge hypergraphs. A novel two-stage transformer model, the Logical Knowledge Hypergraph Transformer (LKHGT), is proposed for answering complex logical queries, demonstrating state-of-the-art performance on CQA tasks and generalizing well to new query types.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
COMP 4332 - Big Data Mining and Management
TA, Spring, 2025