Existing counting models suffer significant performance degradation when tested on data from unknown scenarios (out-of-distribution data), due to the domain shift problem. In practical applications, ...
Abstract: Graph classification, as one of the core issues in graph data analysis, demonstrates significant application value in scenarios such as chemical molecular property prediction and protein ...