XFlow

XFlow是由密西西比州立大学计算机科学与工程系创建的一个新型基准套件，旨在通过包含多种任务、基准模型、图数据集和评估工具来全面研究网络场景下的流行为。该数据集支持广泛的图配置、扩散模型和种子分布，适用于公共健康、基础设施安全、社交网络信息传播等多个领域，旨在解决复杂网络系统中的信息传播和控制问题。

XFlow is a novel benchmark suite developed by the Department of Computer Science and Engineering at Mississippi State University. It is designed to comprehensively study flow behaviors in network scenarios by incorporating a variety of tasks, benchmark models, graph datasets, and evaluation tools. This suite supports a wide range of graph configurations, diffusion models and seed distributions, and is applicable to multiple domains such as public health, infrastructure security, information propagation in social networks and others. Its core goal is to address the problems of information propagation and control in complex network systems.