Generalizing to unseen elements: A survey on knowledge extrapolation for knowledge graphs

M Chen, W Zhang, Y Geng, Z Xu, JZ Pan… - arxiv preprint arxiv …, 2023 - arxiv.org
Knowledge graphs (KGs) have become valuable knowledge resources in various
applications, and knowledge graph embedding (KGE) methods have garnered increasing …

unKR: A Python Library for Uncertain Knowledge Graph Reasoning by Representation Learning

J Wang, T Wu, S Chen, Y Liu, S Zhu, W Li… - Proceedings of the 47th …, 2024 - dl.acm.org
Recently, uncertain knowledge graphs (UKGs), where each relation between entities is
associated with a confidence score, have gained much attention. Compared with traditional …

Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-starting Progressive Propagation

Z Shao, Y Cui, W Hu - International Semantic Web Conference, 2024 - Springer
Abstract Knowledge graphs (KGs) are widely acknowledged as incomplete, and new entities
are constantly emerging in the real world. Inductive KG reasoning aims to predict missing …