Yueyang Pi1, Yang Huang1, Yongquan Shi1

  • 1College of Computer and Data Science, Fuzhou University, Fuzhou, 350116, China; Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, 350116, China.

概括

这项研究介绍了一种新的隐性图形神经网络,可以克服处理动态,异性图形数据的局限性. 灵活的传播运算符适应数据语义和拓学,改善复杂图形结构的性能.

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