From: KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection
Method | Acc | NR | FR | TR | UR |
---|---|---|---|---|---|
F_1 | F_1 | F_1 | F_1 | ||
DTC | 0.454 | 0.733 | 0.355 | 0.317 | 0.415 |
RFC | 0.565 | 0.81 | 0.422 | 0.401 | 0.543 |
SVM-TS | 0.544 | 0.796 | 0.472 | 0.404 | 0.483 |
PTK | 0.75 | 0.804 | 0.698 | 0.765 | 0.733 |
GRU | 0.646 | 0.792 | 0.574 | 0.608 | 0.592 |
BU-RvNN | 0.708 | 0.695 | 0.728 | 0.759 | 0.653 |
TD-RvNN | 0.723 | 0.682 | 0.758 | 0.821 | 0.654 |
PPC | 0.842 | 0.811 | 0.875 | 0.818 | 0.79 |
Bi-GCN | 0.886 | 0.891 | 0.86 | 0.93 | 0.864 |
KAGN | 0.892 | 0.868 | 0.883 | 0.894 | 0.927 |