The multi-hop reasoning tasks have been formalized as a sequential decision problem, which rely on multiple walk-based agents (the entity agent and the relation agent) to extend reasoning paths, until the target answer is reached. Knowledge graph embedding models and symbol logical rules are adopted to guide the entity...
Wei-Dong Li, Zhi-Wei Ye, Si-Bei Chen et al.· IEEE Transactions on Pattern...· 0 citations
Generative artificial intelligence (GenAI) is rapidly reshaping higher education and students’ academic writing practices. However, existing research has largely focused on technology acceptance and usage intention, with less attention to whether and how GenAI use can be sustained. This study investigates the determi...
Yan Yang, Cheng Zhang, Hao Meng et al.· Frontiers in Education· 0 citations
In machine reading comprehension (MRC) tasks that involve complex logical reasoning, graph structures are often regarded as a more suitable representation paradigm than plain text sequences, owing to their explicit structured semantic environment and strong relational inference capabilities. Nevertheless, most existing...
Zhuo Zhao, Zhiwen Xie, Guang-You Zhou et al.· IEEE Transactions on Audio,...· 0 citations
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