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 6 最优评论利用时间阈值有效性验证

Tab.6 Validation of effectiveness of optimal comment utilization time threshold

方法 Ma_Dataset Song_Dataset Acc Pre Rec F1 Acc Pre Rec F1 DT-Rank 0.723 0.728 0.725 0.726 0.647 0.635 0.669 0.652 SVM-TS 0.824 0.810 0.817 0.813 0.743 0.753 0.764 0.758 Text-CNN 0.839 0.833 0.849 0.841 0.800 0.813 0.809 0.811 GRU-2 0.899 0.896 0.885 0.890 0.839 0.835 0.847 0.841 dEFEND 0.915 0.913 0.931 0.922 0.877 0.869 0.899 0.883 Text-GCN 0.925 0.916 0.913 0.914 0.892 0.887 0.880 0.883 Bi-GCN 0.928 0.933 0.921 0.927 0.902 0.895 0.911 0.903 GLAN 0.929 0.936 0.930 0.933 0.902 0.907 0.916 0.911 TextING 0.937 0.936 0.939 0.937 0.909 0.908 0.911 0.909 本研究方法 0.945 0.938 0.941 0.940 0.921 0.920 0.925 0.923