Spatiotemporal Forecasting on Wabash River (test) benchmark leaderboard · SOTA2 Research

Spatiotemporal Forecasting on Wabash River (test)

2.945MAEAGCRN

Evaluation Results

Method	Links
AGCRN2026.06		2.945	17.658	8.978
FDN2026.06		3.127	16.292	9.583
MTGNN2026.06		3.355	19.943	10.015
SCINet2026.06		3.476	18.367	10.425
TCN2026.06		3.499	17.731	10.678
GRU2026.06		3.517	17.21	10.655
LTSF DLinear2026.06		3.631	17.508	10.972
StemGNN2026.06		3.7	19.087	11.036
FED-former2026.06		3.868	31.746	10.068
STGM2026.06		3.938	25.48	10.963
FDN2026.06		6.624	26.183	17.89
AGCRN2026.06		6.649	27.996	17.518
MTGNN2026.06		6.895	30.719	18.124
T-GCN2026.06		6.975	26.657	14.658
A3T-GCN2026.06		7.035	26.684	14.788
GRU2026.06		7.173	28.337	18.727
LTSF DLinear2026.06		7.326	28.166	19.125
StemGNN2026.06		7.363	29.565	19.037
TCN2026.06		7.4	28.542	19.306
SCINet2026.06		7.444	31.434	18.985
FED-former2026.06		7.634	41.893	18.368
STGM2026.06		8.515	43.242	19.563
FDN2026.06		9.122	32.978	22.611
AGCRN2026.06		9.128	35.085	22.719
MTGNN2026.06		9.242	36.663	22.473
GRU2026.06		9.604	35.441	23.175
T-GCN2026.06		9.664	35.477	21.067
A3T-GCN2026.06		9.696	35.684	21.086
TCN2026.06		9.812	39.157	23.742
LTSF DLinear2026.06		9.887	35.063	23.803
StemGNN2026.06		10.025	39.401	23.824
FED-former2026.06		10.153	47.402	23.022
SCINet2026.06		10.184	40.243	23.604
STGM2026.06		11.028	47.421	24.17
T-GCN2026.06		11.552	41.771	24.882
A3T-GCN2026.06		11.575	41.574	24.898