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Table 5 Results of comparison with different models on PHEME datasets

From: KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection

Method

Acc

Precision

Recall

F-1

SVM-TS

0.640

0.639

0.621

0.640

DTC

0.691

0.648

0.654

0.650

RFC

0.713

0.660

0.609

0.614

CNN

0.701

0.741

0.707

0.690

GRU

0.737

0.700

0.690

0.692

B-TransE

0.720

0.683

0.606

0.607

KCNN

0.727

0.683

0.642

0.649

KAGN

0.865

0.840

0.829

0.834