论文笔记：AAAI 2019 Graph Convolutional Networks for Text Classification
前言 这篇论文，还是挺简单的基于GCN的应用型文章，主要的贡献在于构建了基于文本和词的异构图，使得在GCN上能够对文本进行半监督分类。实现过程中采用了最经典的以一阶切比雪夫不等式为一阶近似为卷积核的图卷积方式，该文的亮点在于图的构建。 论文链接：https://arxiv.org/abs/1809.05679 github：https://github.com/iworldtong/text_gc
相关文章
- 1. Graph Convolutional Networks for Text Classification阅读笔记
- 2. Graph Convolutional Networks for Text Classification
- 3. 【论文阅读笔记】Graph Convolutional Networks for Text Classification
- 4. 论文笔记：LCML 2019 Simplifying Graph Convolutional Networks
- 5. 论文解读：Graph Convolutional Networks for Text Classifification
- 6. 论文阅读总结（Graph Convolutional Networks for Text Classification）
- 7. 《Character-level Convolutional Networks for Text Classification》
- 8. 论文笔记：Recurrent Convolutional Neural Networks for Text Classification
- 9. Very Deep Convolutional Networks for Text Classification
- 10. Recurrent Convolutional Neural Networks for Text Classification
- 更多相关文章...
- • SVG
- SVG 教程 - • ASP.NET Razor - 标记 - ASP.NET 教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Graph Convolutional Networks for Text Classification阅读笔记
- 2. Graph Convolutional Networks for Text Classification
- 3. 【论文阅读笔记】Graph Convolutional Networks for Text Classification
- 4. 论文笔记：LCML 2019 Simplifying Graph Convolutional Networks
- 5. 论文解读：Graph Convolutional Networks for Text Classifification
- 6. 论文阅读总结（Graph Convolutional Networks for Text Classification）
- 7. 《Character-level Convolutional Networks for Text Classification》
- 8. 论文笔记：Recurrent Convolutional Neural Networks for Text Classification
- 9. Very Deep Convolutional Networks for Text Classification
- 10. Recurrent Convolutional Neural Networks for Text Classification