Table 4 Optimal parameter selection.

From: Heterogeneous graph convolutional network for rumor detection with multi-level interactive fusion and graph reconstruction

 

Twitter15 dataset

Acc

NR

FR

TR

UR

\({F}_{1}\)

\({F}_{1}\)

\({F}_{1}\)

\({F}_{1}\)

\(\upeta =0.4\)

\(\upkappa =0.1\)

0.920

0.958

0.911

0.920

0.889

\(\upeta =0.1\)

\(\upkappa =0.1\)

0.905

0.945

0.917

0.900

0.855

\(\upeta =0.5\)

\(\upkappa =0.1\)

0.902

0.928

0.917

0.920

0.841

\(\upeta =0.4\)

\(\upkappa =0.2\)

0.913

0.923

0.897

0.918

0.913

 

Twitter16 dataset

Acc

NR

FR

TR

UR

\({F}_{1}\)

\({F}_{1}\)

\({F}_{1}\)

\({F}_{1}\)

\(\upeta =0.3\)

\(\upkappa =0.1\)

0.929

0.946

0.911

0.926

0.933

\(\upeta =0.1\)

\(\upkappa =0.1\)

0.918

0.944

0.901

0.938

0.891

\(\upeta =0.5\)

\(\upkappa =0.1\)

0.928

0.957

0.897

0.928

0.933

\(\upeta =0.3\)

\(\upkappa =0.2\)

0.913

0.923

0.897

0.918

0.913