Entity alignment for temporal knowledge graphs via adaptive graph networks. - Jia Li 036; Dandan Song; Hao Wang 163; Zhijing Wu 001; Changzhi Zhou; Yanru Zhou (Knowl. Based Syst., 2023)

Multi-view entity type overdependency reduction for event argument extraction. - Jing Xu; Dandan Song; Siu Cheung Hui; Fei Li; Hao Wang 163 (Knowl. Based Syst., 2023)

A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval. - Yading Li; Dandan Song; Changzhi Zhou; Yuhang Tian; Hao Wang 163; Ziyi Yang; Shuhao Zhang (EMNLP (Findings), 2024)

Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering. - Yuhang Tian; Dandan Song; Zhijing Wu 001; Changzhi Zhou; Hao Wang 163; Jun Yang; Jing Xu; Ruanmin Cao; Haoyu Wang (EMNLP (Findings), 2024)

Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction. - Jing Xu; Dandan Song; Siu Hui; Zhijing Wu 001; Meihuizi Jia; Hao Wang 163; Yanru Zhou; Changzhi Zhou; Ziyi Yang (NAACL-HLT, 2024)

A Comprehensive Evaluation of Large Language Models on Aspect-Based Sentiment Analysis. - Changzhi Zhou; Dandan Song; Yuhang Tian; Zhijing Wu 001; Hao Wang 163; Xinyu Zhang; Jun Yang; Ziyi Yang; Shuhao Zhang (CoRR, 2024)

A collaborative learning framework for knowledge graph embedding and reasoning. - Hao Wang 163; Dandan Song; Zhijing Wu 001; Jia Li 036; Yanru Zhou; Jing Xu (Knowl. Based Syst., 2024)

Look one step ahead through first-order aggregation in reinforcement learning-based knowledge graph reasoning. - Hao Wang 163; Dandan Song; Zhijing Wu 001; Yuhang Tian; Jing Xu (Inf. Sci., 2025)