Table 3.

SAMMNet performance for different ${\lambda }_{\mathit{AM}}$ and ${\lambda }_{\mathit{NC}}$ configurations

${\lambda }_{\mathit{AM}}$	${\lambda }_{\mathit{NC}}$	Description	Initial accuracy (%) ± std	Symmetry-aware accuracy (%) ± std
0.5	0.5	Balanced MTL	87.3 ± 0.09	96.2 ± 0.14
0.3	0.7	Emphasis on NC	86.7 ± 0.1	95.0 ± 0.05
0.7	0.3	Emphasis on AM	88.51 ± 0.07	97.37 ± 0.06
1.0	0.0	Pure Vanilla training	87.6 ± 0.08	96.5 ± 0.07
0.0	1.0	Pure node classification	69.9 ± 1.2	76.6 ± 0.9

Bold values indicate the best-performing results for each evaluation metric