📊 Showing 3 results | 📏 Metric: 9 steps MAE
| Rank | Model | Paper | 9 steps MAE | Date | Code |
|---|---|---|---|---|---|
| 1 | FC-LSTM | Sequence to Sequence Learning with Neural Networks | 4.16 | 2014-09-10 | 📦 bentrevett/pytorch-seq2seq 📦 farizrahman4u/seq2seq 📦 macournoyer/neuralconvo |
| 2 | STGCN(1st) | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | 3.79 | 2017-09-14 | 📦 VeritasYin/STGCN_IJCAI-18 📦 hazdzz/STGCN 📦 Aguin/STGCN-PyTorch |
| 3 | STGCN(Cheb) | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting | 3.57 | 2017-09-14 | 📦 VeritasYin/STGCN_IJCAI-18 📦 hazdzz/STGCN 📦 Aguin/STGCN-PyTorch |