[Retracted] Rumor Detection with Bidirectional Graph Attention Networks

Table 3

The results of rumor detection on Weibo dataset.

Method	Class	Acc	Prec	Recall	F1
DTC	F	0.831	0.847	0.815	0.831
	T		0.815	0.847	0.830
SVM-TS	F	0.857	0.839	0.885	0.861
	T		0.878	0.830	0.857
RVNN	F	0.910	0.876	0.956	0.914
	T		0.952	0.864	0.906
PPC	F	0.921	0.896	0.962	0.923
	T		0949	0.889	0.918
GLAN	F	0.946	0.943	0.948	0.945
	T		0.949	0.943	0.946
KZWANG	F	0.950	0.945	0.954	0.949
	T		0.954	0.945	0.950
BiGCN	F	0.960	0.959	0.963	0.960
	T		0.961	0.960	0.959
P-BiGAT	F	0.967	0.966	0.969	0.967
	T		0.970	0.964	0.966

Bold values indicate the best experimental data among all compared baseline methods.