论文阅读笔记：Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
这篇论文好像是第一篇将图神经网络应用到社交媒体谣言检测的论文。 摘要 摘要中，有几个关键性的词，有助于我们从全局了解这篇paper的内容，以下： Bi-Directional：意思是“双向的”，分别指“top-down”，“down-top”； top-down：指的是谣言自顶向下传播（propagation）； “down-top”：指的是谣言 模型 采用了two-layer 1stChebNe
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相关文章
- 1. 【论文解读 AAAI 2020 | Bi-GCN】Rumor Detection on Social Media with Bi-Directional GCN
- 2. 论文阅读笔记：GAS---spam review detection with graph convolutional networks
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- 6. 论文阅读：Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
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