2025
Adjusted Count Quantification Learning on Graphs
NeurIPS 2025poster
*Quantification learning* is the task of predicting the label distribution of a set of instances. We study this problem in the context of graph-structured data, where the instances are vertices. Previously, this problem has only been addressed via node clustering methods. In this paper, we extend th…