activity
20192026
most citedSemantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs

3 citations · 7 across the 6 of their papers we have counts for

collaborators

8 papers

cs.AI2026

RTSKG: Building a Rail Transit Station Knowledge Graph Dataset

Shutong Zhu, Tianxing Wu, Runfeng Liu +3

Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems, rail transit stations function as critical transport hubs that…

cs.CL2025

K-DeCore: Facilitating Knowledge Transfer in Continual Structured Knowledge Reasoning via Knowledge Decoupling

Yongrui Chen, Yi Huang, Yunchang Liu +5

Continual Structured Knowledge Reasoning (CSKR) focuses on training models to handle sequential tasks, where each task involves translating natural language questions into structur…

cs.AI2024★ 2 cited

KGroot: Enhancing Root Cause Analysis through Knowledge Graphs and Graph Convolutional Neural Networks

Tingting Wang, Guilin Qi, Tianxing Wu

Fault localization is challenging in online micro-service due to the wide variety of monitoring data volume, types, events and complex interdependencies in service and components.…

cs.AI2024★ 2 cited

Embedding Ontologies via Incorporating Extensional and Intensional Knowledge

Keyu Wang, Guilin Qi, Jiaoyan Chen +2

Ontologies contain rich knowledge within domain, which can be divided into two categories, namely extensional knowledge and intensional knowledge. Extensional knowledge provides in…

cs.DB2022

Random Walk-based Community Key-members Search over Large Graphs

Yuxiang Wang, Yuyang Zhao, Xiaoliang Xu +3

Given a graph , a query node , and an integer , community search (CS) seeks a cohesive subgraph (measured by community models such as -core or -truss) from that…

cs.AI2021

Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs

Yongrui Chen, Huiying Li, Guilin Qi +2

Query graph construction aims to construct the correct executable SPARQL on the KG to answer natural language questions. Although recent methods have achieved good results using ne…