Bivariate Causal Discovery on LS (AUROC, Accuracy) benchmark leaderboard · SOTA2 Research

Bivariate Causal Discovery on LS (AUROC, Accuracy)

100AUROCbQCD

Evaluation Results

Method	Links
bQCD2026.04		100	100
CDCI2026.04		100	100
LCUBE2026.04		100	100
ROCHE2026.04		100	100
CAM2026.04		99.9	98
HECI2026.04		99.1	92
IGCI2026.04		98.6	95
FOM2026.04		92.9	93
LOCI2026.04		91.1	85
NNCL2026.04		86.2	84
CDS2026.04		84.7	76
CGNN2026.04		78.8	70
RDMDL-St2026.04		78.5	69
RDMDL-R2026.04		77	68
GPI2026.04		72.8	83.6
ANM2026.04		59.4	57.8
RDMDL-Sc2026.04		53.5	51
RDMDL-FD2026.04		49	47
RECI2026.04		15.2	22
SLOPPY2026.04		14.3	22
SLOPE2026.04		12.6	21