7 citations · 9 across the 9 of their papers we have counts for
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cs.LG2024
Navigating Towards Fairness with Data Selection
Yixuan Zhang, Zhidong Li, Yang Wang +3
Machine learning algorithms often struggle to eliminate inherent data biases, particularly those arising from unreliable labels, which poses a significant challenge in ensuring fai…
cs.SI2024★ 1 cited
Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods
Shuming Liang, Yu Ding, Zhidong Li +4
This paper explores the ability of Graph Neural Networks (GNNs) in learning various forms of information for link prediction, alongside a brief review of existing link prediction m…
cs.LG2024
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
Zizhuo Meng, Boyu Li, Xuhui Fan +4
The classical temporal point process (TPP) constructs an intensity function by taking the occurrence times into account. Nevertheless, occurrence time may not be the only relevant…