Zhixiang Su — accepted AI-conference papers

2024

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

AAAI 2024technical

Aiming to accurately predict missing edges representing relations between entities, which are pervasive in real-world Knowledge Graphs (KGs), relation prediction plays a critical role in enhancing the comprehensiveness and utility of KGs. Recent research focuses on path-based methods due to their in…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2023

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer

Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

AAAI 2023technical

Recent studies on knowledge graphs (KGs) show that path-based methods empowered by pre-trained language models perform well in the provision of inductive and explainable relation predictions. In this paper, we introduce the concepts of relation path coverage and relation path confidence to filter ou…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗