Data publication: Optimizations on Graph-Level for Domain Specific Computations in Julia and Application to QED

Experiment run and plotting code, and produced data for the accompanying paper.

DataCite Commons2025-11-14 更新10

This dataset package includes three benchmark datasets (Mutagenicity, BA3-motif, and MNIST-Superpixel) designed for evaluating explainability methods of Graph Neural Networks (GNNs).Mutagenicity: 4,37

IEEE00

Common Graph-level and Node-level Measures Computed for Learned Pan-Cancer Networks.

Inferred network edges were tested against a database of experimentally validated PPIs in human and compared with randomly simulated networks. Sample sizes for each network are denoted by n and all ne

NIAID Data Ecosystem00