Tiquan Gu

According to our database, Tiquan Gu authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Class imbalance mitigation: A select-then-extract learning framework for emotion-cause pair extraction.

Min Li, Hui Zhao, Tiquan Gu, Di Ying, Bin Liao

Expert Syst. Appl., February, 2024

Query execution time estimation in graph databases based on graph neural networks.

Zhenzhen He, Jiong Yu, Tiquan Gu, Dexian Yang

J. King Saud Univ. Comput. Inf. Sci., 2024

A novel query execution time prediction approach based on operator iterate-aware of the execution plan on the graph database.

Zhenzhen He, Jiong Yu, Tiquan Gu

J. King Saud Univ. Comput. Inf. Sci., 2024

Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint.

Tiquan Gu, Zhenzhen He, Hui Zhao, Min Li, Di Ying

Expert Syst. Appl., 2024

Using query semantic and feature transfer fusion to enhance cardinality estimating of property graph queries.

Zhenzhen He, Tiquan Gu, Jiong Yu

Displays, 2024

2023

Experiencer-Driven and Knowledge-Aware Graph Model for emotion-cause pair extraction.

Min Li, Hui Zhao, Tiquan Gu, Di Ying

Knowl. Based Syst., October, 2023

Effective inter-aspect words modeling for aspect-based sentiment analysis.

Tiquan Gu, Hui Zhao, Min Li

Appl. Intell., February, 2023

Integrating external knowledge into aspect-based sentiment analysis using graph neural network.

Tiquan Gu, Hui Zhao, Zhenzhen He, Min Li, Di Ying

Knowl. Based Syst., 2023

Query cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network.

Zhenzhen He, Jiong Yu, Tiquan Gu, Zhe Li, Xusheng Du, Ping Li

Concurr. Comput. Pract. Exp., 2023