目录GIN简介实现步骤数据准备实现模型模型训练GIN简介 GIN(Graph Isomorphism Network)是一类基于图同构的神经网络。在传统的神经网络中,每个节点的特征只依赖于其自身特征,但在图数据中,节点的特征还与其邻居节
in my search form, if the user types \'good\', it displays all the results which contain the keyword \'good\'. however if the user types in \'good sweetest\', it displays no results because there is n