15 citations · 18 across the 7 of their papers we have counts for
7 papers
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs
Feng Ding, Tingting Wang, Yupeng Gao +3
Outdated facts in temporal knowledge graphs (TKGs) result from exceeding the expiration date of facts, which negatively impact reasoning performance on TKGs. However, existing reas…
Factor Graph-based Interpretable Neural Networks
Yicong Li, Kuanjiu Zhou, Shuo Yu +4
Comprehensible neural network explanations are foundations for a better understanding of decisions, especially when the input data are infused with malicious perturbations. Existin…
Long-range Brain Graph Transformer
Shuo Yu, Shan Jin, Ming Li +2
Understanding communication and information processing among brain regions of interest (ROIs) is highly dependent on long-range connectivity, which plays a crucial role in facilita…
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
Renqiang Luo, Huafei Huang, Shuo Yu +4
Fairness-aware Graph Neural Networks (GNNs) often face a challenging trade-off, where prioritizing fairness may require compromising utility. In this work, we re-examine fairness t…
FairGT: A Fairness-aware Graph Transformer
Renqiang Luo, Huafei Huang, Shuo Yu +2
The design of Graph Transformers (GTs) generally neglects considerations for fairness, resulting in biased outcomes against certain sensitive subgroups. Since GTs encode graph info…
Deep Outdated Fact Detection in Knowledge Graphs
Huiling Tu, Shuo Yu, Vidya Saikrishna +2
Knowledge graphs (KGs) have garnered significant attention for their vast potential across diverse domains. However, the issue of outdated facts poses a challenge to KGs, affecting…
How to optimize an academic team when the outlier member is leaving?
Shuo Yu, Jiaying Liu, Feng Xia +2
An academic team is a highly-cohesive collaboration group of scholars, which has been recognized as an effective way to improve scientific output in terms of both quality and quant…