Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling

arXiv:2403.06489v1 Announce Type: new
Abstract: Uplift modeling aims to measure the incremental effect, which we call uplift, of a strategy or action on the users from randomized experiments or observational data. Most existing uplift methods only use individual data, which are usually not informative enough to capture the unobserved and complex hidden factors regarding the uplift. Furthermore, uplift modeling scenario usually has scarce labeled data, especially for the treatment group, which also poses a great challenge for model training. Considering …

abstract arxiv call cs.lg data graph graph neural network incremental modeling network neural network strategy type