├── .gitignore ├── LICENSE ├── README.md ├── conda_env.yml ├── config ├── largescale │ ├── dcrnn_cer.yaml │ ├── dcrnn_pv.yaml │ ├── gatedgn_cer.yaml │ ├── gatedgn_pv.yaml │ ├── gwnet_cer.yaml │ ├── gwnet_pv.yaml │ ├── sgp_cer.yaml │ └── sgp_pv.yaml ├── largescale_100nn │ ├── dcrnn_cer.yaml │ ├── dcrnn_pv.yaml │ ├── gatedgn_cer.yaml │ ├── gatedgn_pv.yaml │ ├── gwnet_cer.yaml │ ├── gwnet_pv.yaml │ ├── sgp_cer.yaml │ └── sgp_pv.yaml └── traffic │ ├── dcrnn.yaml │ ├── gatedgn_bay.yaml │ ├── gatedgn_la.yaml │ ├── gesn_bay.yaml │ ├── gesn_la.yaml │ ├── gwnet.yaml │ ├── rnn.yaml │ ├── sgp_bay.yaml │ ├── sgp_bay_abl1.yaml │ ├── sgp_bay_abl2.yaml │ ├── sgp_bay_abl3.yaml │ ├── sgp_la.yaml │ ├── sgp_la_abl1.yaml │ ├── sgp_la_abl2.yaml │ └── sgp_la_abl3.yaml ├── experiments ├── __init__.py ├── run_closed_form.py ├── run_largescale_baselines.py ├── run_largescale_sgp.py ├── run_traffic_baselines.py └── run_traffic_sgp.py ├── lib ├── __init__.py ├── dataloader │ ├── __init__.py │ ├── iid_dataloader.py │ ├── sgp_dataloader.py │ └── subgraph_dataloader.py ├── datamodule │ ├── __init__.py │ ├── sgp_datamodule.py │ └── subgraph_datamodule.py ├── datasets │ ├── __init__.py │ ├── cer_en.py │ ├── iid_dataset.py │ └── pv.py ├── nn │ ├── __init__.py │ ├── encoders │ │ ├── __init__.py │ │ ├── dyn_gesn_encoder.py │ │ ├── sgp_encoder.py │ │ ├── sgp_spatial_encoder.py │ │ └── sgp_temporal_encoder.py │ ├── models │ │ ├── __init__.py │ │ ├── esn_model.py │ │ ├── gated_gn_model.py │ │ ├── gwnet_model.py │ │ ├── sgp_model.py │ │ └── sgp_online.py │ └── reservoir │ │ ├── __init__.py │ │ ├── graph_reservoir.py │ │ └── reservoir.py ├── predictors │ ├── __init__.py │ ├── profiling_predictor.py │ └── subgraph_predictor.py ├── sgp_preprocessing.py └── utils.py ├── scalable.png ├── sgp_paper.pdf ├── sgp_poster.pdf └── tsl ├── __init__.py ├── data ├── __init__.py ├── batch.py ├── batch_map.py ├── data.py ├── datamodule │ ├── __init__.py │ ├── spatiotemporal_datamodule.py │ └── splitters.py ├── imputation_stds.py ├── loader │ ├── __init__.py │ └── dataloader.py ├── mixin.py ├── preprocessing │ ├── __init__.py │ └── scalers.py ├── spatiotemporal_dataset.py └── utils.py ├── datasets ├── __init__.py ├── metr_la.py ├── mts_benchmarks.py ├── pems_bay.py └── prototypes │ ├── __init__.py │ ├── casting.py │ ├── dataset.py │ ├── mixin.py │ ├── pd_dataset.py │ └── tabular_dataset.py ├── global_scope ├── __init__.py ├── config.py ├── lazy_loader.py └── logger.py ├── imputers ├── __init__.py └── imputer.py ├── nn ├── __init__.py ├── base │ ├── __init__.py │ ├── attention │ │ ├── __init__.py │ │ ├── attention.py │ │ └── linear_attention.py │ ├── dense.py │ ├── embedding.py │ ├── graph_conv.py │ └── temporal_conv.py ├── blocks │ ├── __init__.py │ ├── decoders │ │ ├── __init__.py │ │ ├── att_pool.py │ │ ├── gcn_decoder.py │ │ ├── linear_readout.py │ │ ├── mlp_decoder.py │ │ └── multi_step_mlp_decoder.py │ └── encoders │ │ ├── __init__.py │ │ ├── conditional.py │ │ ├── dcrnn.py │ │ ├── dense_dcrnn.py │ │ ├── gcgru.py │ │ ├── gclstm.py │ │ ├── gcrnn.py │ │ ├── input_encoder.py │ │ ├── mlp.py │ │ ├── nri_dcrnn.py │ │ ├── rnn.py │ │ ├── stcn.py │ │ ├── tcn.py │ │ └── transformer.py ├── functional.py ├── layers │ ├── __init__.py │ ├── graph_convs │ │ ├── __init__.py │ │ ├── dense_spatial_conv.py │ │ ├── diff_conv.py │ │ ├── gat_conv.py │ │ ├── gated_gn.py │ │ ├── graph_attention.py │ │ ├── grin_cell.py │ │ └── spatio_temporal_att.py │ ├── link_predictor.py │ ├── norm │ │ ├── __init__.py │ │ ├── batch_norm.py │ │ ├── instance_norm.py │ │ ├── layer_norm.py │ │ └── norm.py │ ├── positional_encoding.py │ ├── spatial_attention.py │ └── temporal_attention.py ├── metrics │ ├── __init__.py │ ├── metric_base.py │ ├── metric_wrappers.py │ ├── metrics.py │ ├── multi_loss.py │ └── pinball_loss.py ├── models │ ├── __init__.py │ ├── imputation │ │ ├── __init__.py │ │ ├── grin_model.py │ │ └── rnni_models.py │ ├── rnn_model.py │ ├── stgn │ │ ├── __init__.py │ │ ├── dcrnn_model.py │ │ ├── gated_gn_model.py │ │ ├── graph_wavenet_model.py │ │ ├── nri_model.py │ │ ├── rnn2gcn_model.py │ │ └── stcn_model.py │ ├── tcn_model.py │ └── transformer_model.py ├── ops │ ├── __init__.py │ ├── grad_norm.py │ └── ops.py └── utils │ ├── __init__.py │ ├── casting.py │ └── utils.py ├── ops ├── __init__.py ├── connectivity.py ├── framearray.py ├── imputation.py ├── pattern.py ├── similarities.py └── test.py ├── predictors ├── __init__.py └── base_predictor.py ├── typing.py └── utils ├── __init__.py ├── download.py ├── experiment.py ├── io.py ├── neptune_utils.py ├── numpy_metrics.py ├── parser_utils.py ├── preprocessing.py └── python_utils.py /.gitignore: -------------------------------------------------------------------------------- 1 | *.DS_STORE -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 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