4 citations · 14 across the 9 of their papers we have counts for
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cs.AI2025
TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion
Lihui Liu, Zihao Wang, Dawei Zhou +6
Knowledge graphs (KGs) are ubiquitous and widely used in various applications. However, most real-world knowledge graphs are incomplete, which significantly degrades their performa…
cs.AI2024★ 1 cited
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective
Lihui Liu, Zihao Wang, Hanghang Tong
Knowledge graph reasoning is pivotal in various domains such as data mining, artificial intelligence, the Web, and social sciences. These knowledge graphs function as comprehensive…
cs.AI2024★ 1 cited
Extending Complex Logical Queries on Uncertain Knowledge Graphs
Weizhi Fei, Zihao Wang, Hang Yin +2
The study of machine learning-based logical query answering enables reasoning with large-scale and incomplete knowledge graphs. This paper advances this area of research by address…