Aug 5, 2021 · Extensive experiments on two benchmark datasets demonstrate that FuzzQE provides significantly better performance in answering FOL queries ...
[PDF] Fuzzy Logic Based Logical Query Answering on Knowledge Graphs
web.cs.ucla.edu › ~yzsun › papers
Our goal is to create a logical query embedding frame- work that satisfies logical laws and provides learning-free logical operators. We hereby present FuzzQE ( ...
We propose a novel logical query embedding framework. FuzzQE for answering complex logical queries on knowledge graphs. ... on embedding-based logical query ...
FuzzQE following fuzzy logic to define logical operators in a principled and learning-free manner, where only entity and relation embeddings require ...
Fuzzy Logic based Logical Query Answering on Knowledge Graphs. References. Ren ... Satisfy all the listed logic laws. Overview. We present FuzzQE, a fuzzy logic ...
Answering complex First-Order Logical (FOL) queries on large-scale incomplete knowledge graphs (KGs) is an important yet challenging task.
In this paper, we present FuzzQE, a fuzzy logic based query embedding framework for answering FOL queries over KGs. FuzzQE follows fuzzy logic to define logical ...
Jun 30, 2022 · Answering complex First-Order Logical (FOL) queries on large-scale incomplete knowledge graphs (KGs) is an important yet challenging task.
Aug 5, 2021 · In this paper, we present FuzzQE, a fuzzy logic based query embedding framework for answering FOL queries over KGs. FuzzQE follows fuzzy logic ...
Apr 25, 2024 · https://dblp.org/rec/conf/aaai/ChenHS22. Xuelu Chen, Ziniu Hu, Yizhou Sun: Fuzzy Logic Based Logical Query Answering on Knowledge Graphs.
People also ask
What is fuzzy logic in knowledge representation?
What is a disadvantage of fuzzy logic compared to traditional logical reasoning?
What do you mean by fuzzy logic?
What is the difference between classical logic and fuzzy logic?