Table 3 Rumor detection results on Twitter16 datasets.
Method | Acc | NR | FR | TR | UR |
|---|---|---|---|---|---|
\({F}_{1}\) | \({F}_{1}\) | \({F}_{1}\) | \({F}_{1}\) | ||
DTC | 0.465 | 0.643 | 0.393 | 0.419 | 0.403 |
SVM-TS | 0.574 | 0.755 | 0.420 | 0.571 | 0.526 |
SVM-TK | 0.662 | 0.643 | 0.623 | 0.783 | 0.655 |
MVAE | 0.631 | 0.540 | 0.687 | 0.721 | 0.578 |
RvNN | 0.737 | 0.662 | 0.743 | 0.835 | 0.708 |
PPC | 0.863 | 0.843 | 0.898 | 0.820 | 0.837 |
GCAN | / | 0.759 | 0.763 | 0.759 | 0.908 |
VAE-GCN | 0.868 | 0.795 | 0.809 | 0.947 | 0.885 |
BI-GCN | 0.880 | 0.847 | 0.869 | 0.937 | 0.865 |
GLAN | 0.902 | 0.921 | 0.869 | 0.847 | 0.968 |
HGATRD | 0.924 | 0.935 | 0.913 | 0.947 | 0.899 |
MLI-GRA | 0.929 | 0.946 | 0.911 | 0.926 | 0.933 |