Journal of Big Data

Table 2 Performance comparison

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

Framework	PHEME		SemEval
Framework	Macro-F1	Acc	Macro-F1	Acc
BranchLSTM [21]	0.491	0.500	0.259	0.314
TD-RvNN [4]	0.509	0.536	0.264	0.341
Hierarchical GCN-RNN [22]	0.540	0.536	0.317	0.356
PLAN [23]	0.581	0.571	0.361	0.438
Hierarchical Transformer [24]	0.592	0.607	0.372	0.441
Bi-GCN [6]	0.607	0.617	0.316	0.442
ClaHi-GAT [25]	0.539	0.536	0.369	0.556
EBGCN [7]	0.639	0.643	0.375	0.521
RPf-GCN (Proposed)	0.736 \({\pm 0.03}\)	0.748 \({\pm 0.06}\)	0.461 \({\pm 0.07}\)	0.658 \({\pm 0.06}\)

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