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 ...

This repository contains the code, data, and results for the paper titled "GraphRAG on technical documents - impact of knowledge graph schema" by Henri Scaffidi, Prof. Melinda Hodkiewicz, Dr. Caitlin ...

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