张量图卷积网络的文本分类

Jan, 2020

Tensor Graph Convolutional Networks for Text Classification

Xien Liu, Xinxin You, Xiao Zhang, Ji Wu, Ping Lv

TL;DR本文提出TensorGCN框架，基于图卷积神经网络进行文本分类，结合单个图的邻域信息和不同图的异构信息进行内部图和跨图传递信息的聚合和协调，实现了在不同种类图中集成异构信息的有效方式。

Abstract

Compared to sequential learning models, graph-based neural networks exhibit some excellent properties, such as ability capturing global information. In this paper, we investigate graph-based neural networks for <