Journal of Big Data

Table 3 Performance comparison with and without different sub-modules

From: RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media

Modules	PHEME		SemEval
Modules	Macro-F1	Acc	Macro-F1	Acc
Combined	0.736	0.748	0.461	0.658
–Conv	0.578	0.579	0.295	0.403
–\(({q \rightarrow p})\)	0.701	0.7	0.405	0.643
–\(({p \rightarrow q})\)	0.421	0.471	0.381	0.547
–Dir	0.525	0.536	0.405	0.556
GCN	0.446	0.493	0.371	0.547

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