Table 4 The results of comparative experiments on the Twitter16 dataset.

Method	Acc	NR F1	FR F1	TR F1	UR F1
DTC	0.473	0.254	0.080	0.190	0.482
RFC	0.585	0.752	0.415	0.547	0.563
SVM-TS	0.574	0.755	0.420	0.571	0.526
SVM-HK	0.511	0.648	0.434	0.473	0.451
GRU-RNN	0.633	0.617	0.715	0.577	0.527
BU-RVNN	0.718	0.723	0.712	0.779	0.659
Rumor2vec	0.852	0.857	0.769	0.927	0.850
HDGCN	0.865	0.820	0.863	0.930	0.863
GCRES	0.888	0.801	0.877	0.912	0.919
GT-Base	0.834	0.815	0.813	0.885	0.797
Bert-TRGCN	0.365	0.4774	0.295	0.143	0.325
TRGCN	0.901	0.870	0.939	0.872	0.905

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