Spatio-temporal forecasting on PEMS-BAY (20% test) benchmark leaderboard · SOTA2 Research

Spatio-temporal forecasting on PEMS-BAY (20% test)

1.28MAEGWavenet + RRN

Evaluation Results

Method	Links
GWavenet + RRN2026.04		1.28	2.77
Auto-DSTSGN + RRN2026.04		1.32	2.8
GWavenet2026.04		1.33	2.78
GMAN + RRN2026.04		1.34	2.82
STPGNN + RRN2026.04		1.34	2.84
Auto-DSTSGN2026.04		1.36	2.83
GMAN2026.04		1.37	2.93
DCRNN + RRN2026.04		1.39	2.91
STPGNN2026.04		1.39	2.93
DCRNN2026.04		1.42	2.99
GWavenet + RRN2026.04		1.63	3.71
GWavenet2026.04		1.67	3.73
Auto-DSTSGN + RRN2026.04		1.67	3.71
GMAN + RRN2026.04		1.67	3.67
STPGNN + RRN2026.04		1.68	3.79
GMAN2026.04		1.71	3.82
Auto-DSTSGN2026.04		1.72	3.76
STPGNN2026.04		1.77	3.93
DCRNN + RRN2026.04		1.81	4.03
DCRNN2026.04		1.87	4.19
GMAN + RRN2026.04		1.97	4.48
Auto-DSTSGN + RRN2026.04		1.99	4.46
GWavenet2026.04		2.01	4.59
GWavenet + RRN2026.04		2.01	4.52
GMAN2026.04		2.01	4.55
STPGNN + RRN2026.04		2.01	4.59
Auto-DSTSGN2026.04		2.04	4.48
STPGNN2026.04		2.15	4.81
DCRNN + RRN2026.04		2.33	5.21
DCRNN2026.04		2.43	5.54