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LOCALIZING TREE-BASED CONVOLUTIONAL NEURAL NETWORKS

机译:定位基于树的卷积神经网络

摘要

In an approach to localizing tree-based convolutional neural networks, a method includes creating a first tree-based convolution layer (TBCL) corresponding to a tree, where the tree includes a first plurality of nodes and a node that has been indicated to be a first pivotal node. The first TBCL includes a second plurality of nodes and a second pivotal node having a feature vector based on node data from the first pivotal node. The method also includes creating a second TBCL corresponding to the tree. The second TBCL may include a third plurality of nodes. The method further includes determining a feature vector a third pivotal node in the third plurality of nodes based on the feature vectors from: (i) the second pivotal node, (ii) a parent node of the second pivotal node, and (ii) a child node of the second pivotal node.
机译:在定位基于树的卷积神经网络的方法中,一种方法包括创建与树相对应的第一基于树的卷积层(TBCL),其中该树包括第一多个节点和已被指示为节点的节点。第一关键节点。第一TBCL包括第二多个节点和具有基于来自第一枢纽节点的节点数据的特征向量的第二枢纽节点。该方法还包括创建与树相对应的第二TBCL。第二TBCL可以包括第三多个节点。该方法还包括基于来自以下的特征矢量来确定第三多个节点中的第三关键节点的特征矢量:(i)第二关键节点,(ii)第二关键节点的父节点,和(ii)第二个关键节点的子节点。

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