Table 3 The results of comparative experiments on the Twitter15 dataset.

From: TRGCN: a hybrid framework for social network rumor detection

Method

Acc

NR

F1

FR

F1

TR

F1

UR

F1

DTC

0.454

0.733

0.355

0.317

0.415

RFC

0.565

0.810

0.422

0.401

0.543

SVM-TS

0.544

0.796

0.472

0.404

0.483

SVM-HK

0.493

0.650

0.439

0.342

0.336

GRU-RNN

0.641

0.684

0.634

0.688

0.571

BU-RVNN

0.708

0.695

0.728

0.759

0.653

Rumor2vec

0.796

0.883

0.746

0.836

0.723

HDGCN

0.834

0.853

0.868

0.859

0.823

GCRES

0.853

0.855

0.858

0.903

0.746

GT-Base

0.822

0.768

0.837

0.832

0.834

Bert-TRGCN

0.333

0.415

0.306

0.275

0.311

TRGCN

0.894

0.857

0.889

0.923

0.900