2 papers
cs.HC2024
CausalPrism: A Visual Analytics Approach for Subgroup-based Causal Heterogeneity Exploration
Jiehui Zhou, Xumeng Wang, Kam-Kwai Wong +5
In causal inference, estimating Heterogeneous Treatment Effects (HTEs) from observational data is critical for understanding how different subgroups respond to treatments, with bro…
cs.HC2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs
Dongming Han, Wei Chen, Rusheng Pan +8
This paper presents GraphFederator, a novel approach to construct joint representations of multi-party graphs and supports privacy-preserving visual analysis of graphs. Inspired by…