DCGCN

Reported on 4 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Time Series4 results

Traffic PredictiononMETR-LA
12 steps MAE· 2023-06-12
3.48
best: 3.08 (TITAN)
SOTA
Dynamic Causal Graph Convolutional Network for Traffic Prediction arXiv:2306.07019
Traffic PredictiononMETR-LA
12 steps MAPE· 2023-06-12
9.94
SOTA
Dynamic Causal Graph Convolutional Network for Traffic Prediction arXiv:2306.07019
Traffic PredictiononMETR-LA
12 steps RMSE· 2023-06-12
6.94
best: 6.12 (T-Graphormer)
SOTA
Dynamic Causal Graph Convolutional Network for Traffic Prediction arXiv:2306.07019
Traffic PredictiononMETR-LA
MAE @ 12 step· 2023-06-12
3.48
best: 3.08 (TITAN)
Dynamic Causal Graph Convolutional Network for Traffic Prediction arXiv:2306.07019