图神经⽹络模块课程旨在帮助同学们快速掌握深度学习在图模型领域算法及其应⽤项⽬。内容主要包括三个模块:1.图神经⽹络经典算法解读,详细解读GNN,GCN,注意⼒机制图模型等算法 ;2 . 图神经⽹络框架PyTorch-Geometric,全程实战解读图神经⽹络框架应⽤⽅法;3 .图神经⽹络项⽬实战,基于真实数据集与实际项⽬展开图数据集构建与模型训练并应⽤到实际场景中。实战项目中主要包括图神经网络在各大场景中的应用,首先讲解应用算法,并切结合具体论文展开分析,源码讲解全部基于真实数据集与实际任务需求进行展开。适合AI方向准备搞研究生的同学们,也适合这个方向准备针对自己的数据进行建模与应用分析的。
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