pytorch-GAT:我对原始GAT论文的实施(Veličković等)。 另外,我还包括了用来查看Cora数据集,GAT嵌入,注意力机制和熵直方图的sparkle.py文件。 我也会尽快添加一个归纳示例(PPI)-源码

上传者: 42130889 | 上传时间: 2021-04-20 14:16:37 | 文件大小: 2.75MB | 文件类型: ZIP
GAT-图注意力网络(PyTorch) :laptop: +图形+ :megaphone: = :red_heart: 此回购包含原始GAT论文的PyTorch实现( :link: )。 它的目的是简化一般的GAT和GNN的玩法和学习。 目录 什么是GNN? 图神经网络是一系列神经网络,它们处理图上定义的信号! 图可以建模许多有趣的自然现象,因此您会发现它们在以下任何地方都得到了使用: 计算生物学-预测强效 计算药理学-预测 流量预测-例如在 推荐系统(用于 , , 等) 一直到大型强子对撞机,和列表不断出现! GAT是空间(卷积)GNN的代表。 由于CNN在计算机视觉领域取得了巨大的成功,因此研究人员决定将其概括为图形,因此我们

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