基于图卷积网络的归纳式微博谣言检测新方法

王友卫,童爽,凤丽洲,朱建明,李洋,陈福

New inductive microblog rumor detection method based on graph convolutional network

You-wei WANG,Shuang TONG,Li-zhou FENG,Jian-ming ZHU,Yang LI,Fu CHEN

表 5 本研究所提方法与现有典型方法的微博谣言检测结果对比

Tab.5 Comparison of microblog rumor detection results of proposed method and existing typical methods

方法 Ma_Dataset Song_Dataset Acc Pre Rec F1 Acc Pre Rec F1 DT-Rank 0.727 0.736 0.731 0.733 0.653 0.637 0.665 0.651 SVM-TS 0.829 0.814 0.823 0.818 0.746 0.751 0.761 0.756 Text-CNN 0.848 0.839 0.854 0.846 0.801 0.807 0.812 0.809 GRU-2 0.902 0.895 0.891 0.893 0.842 0.837 0.846 0.841 dEFEND 0.917 0.912 0.929 0.920 0.881 0.873 0.898 0.885 Text-GCN 0.924 0.915 0.919 0.917 0.889 0.892 0.885 0.888 Bi-GCN 0.929 0.931 0.924 0.927 0.901 0.897 0.906 0.901 GLAN 0.930 0.935 0.932 0.933 0.903 0.908 0.912 0.910 TextING 0.938 0.937 0.943 0.940 0.912 0.906 0.915 0.910 本研究方法 0.946 0.939 0.943 0.941 0.923 0.925 0.922 0.923