39 citations · 39 across the 1 of their papers we have counts for
3 papers
cs.LG2023
A Metadata-Driven Approach to Understand Graph Neural Networks
Ting Wei Li, Qiaozhu Mei, Jiaqi Ma
Graph Neural Networks (GNNs) have achieved remarkable success in various applications, but their performance can be sensitive to specific data properties of the graph datasets they…
cs.LG2023★ 1 cited
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
Catherine Huang, Chelse Swoopes, Christina Xiao +2
Machine learning models are increasingly utilized across impactful domains to predict individual outcomes. As such, many models provide algorithmic recourse to individuals who rece…
cs.SI2016★ 39 cited
DeepCas: an End-to-end Predictor of Information Cascades
Cheng Li, Jiaqi Ma, Xiaoxiao Guo +1
Information cascades, effectively facilitated by most social network platforms, are recognized as a major factor in almost every social success and disaster in these networks. Can…