activity
20202025
most citedUltrahyperbolic Knowledge Graph Embeddings

33 citations · 91 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.AI2023

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning

Bo Xiong, Mojtaba Nayyeri, Linhao Luo +3

Reasoning with knowledge graphs (KGs) has primarily focused on triple-shaped facts. Recent advancements have been explored to enhance the semantics of these facts by incorporating…

cs.AI2023★ 11 cited

ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning

Linhao Luo, Jiaxin Ju, Bo Xiong +3

Logical rules are essential for uncovering the logical connections between relations, which could improve reasoning performance and provide interpretable results on knowledge graph…

cs.AI2023★ 21 cited

A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects

Jiapu Wang, Boyue Wang, Meikang Qiu +8

Temporal characteristics are prominently evident in a substantial volume of knowledge, which underscores the pivotal role of Temporal Knowledge Graphs (TKGs) in both academia and i…

cs.AI2023★ 1 cited

Shrinking Embeddings for Hyper-Relational Knowledge Graphs

Bo Xiong, Mojtaba Nayyer, Shirui Pan +1

Link prediction on knowledge graphs (KGs) has been extensively studied on binary relational KGs, wherein each fact is represented by a triple. A significant amount of important kno…

cs.AI2023★ 3 cited

Geometric Relational Embeddings: A Survey

Bo Xiong, Mojtaba Nayyeri, Ming Jin +4

Geometric relational embeddings map relational data as geometric objects that combine vector information suitable for machine learning and structured/relational information for str…

cs.AI2022

Faithiful Embeddings for EL++ Knowledge Bases

Bo Xiong, Nico Potyka, Trung-Kien Tran +2

Recently, increasing efforts are put into learning continual representations for symbolic knowledge bases (KBs). However, these approaches either only embed the data-level knowledg…