Bivariate Causal Discovery on SIM-ln (AUROC, Accuracy) benchmark leaderboard · SOTA2 Research

Bivariate Causal Discovery on SIM-ln (AUROC, Accuracy)

0.954AUROCLCUBE

Evaluation Results

Method	Links
LCUBE2026.04		0.954	86
GPI2026.04		0.928	84.5
bQCD2026.04		0.919	87
RDMDL-St2026.04		0.916	79
RDMDL-R2026.04		0.914	79
RDMDL-Sc2026.04		0.886	78
RDMDL-FD2026.04		0.872	77
CAM2026.04		0.86	87
CDCI2026.04		0.85	76
ROCHE2026.04		0.817	71
LOCI2026.04		0.813	74
HECI2026.04		0.789	65
CDS2026.04		0.785	65
CGNN2026.04		0.777	68
NNCL2026.04		0.696	54
IGCI2026.04		0.653	59
ANM2026.04		0.607	56.2
SLOPPY2026.04		0.569	54
SLOPE2026.04		0.445	47
RECI2026.04		0.381	44
FOM2026.04		0.369	43