├── LICENSE ├── README.md ├── conda_env.yml ├── config └── benchmark │ ├── dataset │ ├── air.yaml │ ├── bay.yaml │ └── la.yaml │ ├── default.yaml │ ├── model │ ├── diff_tts.yaml │ ├── gated_conv_tts.yaml │ ├── gconv_tts.yaml │ ├── gunet_tts.yaml │ └── higp_tts.yaml │ └── optimizer │ ├── adam.yaml │ └── lr_default.yaml ├── default_config.yaml ├── experiments └── run_benchmark.py ├── lib ├── __init__.py ├── datasets │ ├── __init__.py │ └── air_quality.py ├── nn │ ├── __init__.py │ ├── base │ │ ├── __init__.py │ │ └── time_then_space_model.py │ ├── baselines │ │ ├── __init__.py │ │ ├── diffconv_tts_model.py │ │ ├── gated_tts_model.py │ │ ├── gconv_tts_model.py │ │ └── gunet_tts_model.py │ ├── hier_predictor.py │ ├── hierarchical │ │ ├── __init__.py │ │ ├── hierarchy_builders.py │ │ ├── hierarchy_encoders.py │ │ ├── models │ │ │ ├── __init__.py │ │ │ ├── hierarchical_time_than_space.py │ │ │ └── higp_tts_model.py │ │ ├── ops.py │ │ ├── pooling │ │ │ ├── __init__.py │ │ │ └── mincut_pool.py │ │ ├── projection_layer.py │ │ └── pyramidal_gnn.py │ ├── layers │ │ ├── __init__.py │ │ ├── graph_aniso_conv.py │ │ └── graph_unet.py │ └── utils.py └── utils │ ├── __init__.py │ └── experiments.py └── tsl ├── __init__.py ├── _logger.py ├── config.py ├── data ├── __init__.py ├── batch.py ├── batch_map.py ├── data.py ├── datamodule │ ├── __init__.py │ ├── spatiotemporal_datamodule.py │ └── splitters.py ├── imputation_dataset.py ├── loader │ ├── __init__.py │ ├── disjoint_graph_loader.py │ └── static_graph_loader.py ├── mixin.py ├── preprocessing │ ├── __init__.py │ └── scalers.py ├── spatiotemporal_dataset.py └── synch_mode.py ├── datasets ├── __init__.py ├── air_quality.py ├── elergone.py ├── gpvar.py ├── metr_la.py ├── mts_benchmarks.py ├── pems_bay.py ├── pems_benchmarks.py ├── prototypes │ ├── __init__.py │ ├── casting.py │ ├── dataset.py │ ├── datetime_dataset.py │ ├── mixin.py │ └── tabular_dataset.py ├── pv_us.py └── synthetic.py ├── engines ├── __init__.py ├── imputer.py └── predictor.py ├── experiment ├── __init__.py ├── experiment.py ├── loggers │ ├── __init__.py │ └── neptune_logger.py └── resolvers.py ├── imports.py ├── lazy_loader.py ├── metrics ├── __init__.py ├── numpy │ ├── __init__.py │ └── functional.py └── torch │ ├── __init__.py │ ├── functional.py │ ├── metric_base.py │ ├── metric_wrappers.py │ ├── metrics.py │ └── pinball_loss.py ├── nn ├── __init__.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 │ │ ├── input_encoder.py │ │ ├── mlp.py │ │ ├── multi │ │ ├── __init__.py │ │ ├── mlp.py │ │ └── rnn.py │ │ ├── recurrent │ │ ├── __init__.py │ │ ├── agcrn.py │ │ ├── base.py │ │ ├── dcrnn.py │ │ ├── dense_dcrnn.py │ │ ├── evolvegcn.py │ │ ├── gcrnn.py │ │ └── rnn.py │ │ ├── stcn.py │ │ ├── tcn.py │ │ └── transformer.py ├── functional.py ├── layers │ ├── __init__.py │ ├── base │ │ ├── __init__.py │ │ ├── attention.py │ │ ├── dense.py │ │ ├── embedding.py │ │ ├── link_predictor.py │ │ └── temporal_conv.py │ ├── graph_convs │ │ ├── __init__.py │ │ ├── adaptive_graph_conv.py │ │ ├── dense_graph_conv.py │ │ ├── diff_conv.py │ │ ├── gat_conv.py │ │ ├── gated_gn.py │ │ ├── gpvar.py │ │ ├── graph_attention.py │ │ ├── graph_conv.py │ │ ├── mixin.py │ │ ├── mixin_.py │ │ └── spatiotemporal_attention.py │ ├── multi │ │ ├── __init__.py │ │ ├── conv.py │ │ ├── dense.py │ │ ├── linear.py │ │ └── recurrent.py │ ├── norm │ │ ├── __init__.py │ │ ├── batch_norm.py │ │ ├── instance_norm.py │ │ ├── layer_norm.py │ │ └── norm.py │ ├── ops │ │ ├── __init__.py │ │ ├── activation.py │ │ ├── concatenate.py │ │ ├── grad_norm.py │ │ ├── lambda_module.py │ │ └── select.py │ └── recurrent │ │ ├── __init__.py │ │ ├── agcrn.py │ │ ├── base.py │ │ ├── dcrnn.py │ │ ├── dense_dcrnn.py │ │ ├── evolvegcn.py │ │ ├── gcrnn.py │ │ └── grin.py ├── models │ ├── __init__.py │ ├── base_model.py │ ├── stgn │ │ ├── __init__.py │ │ ├── agcrn_model.py │ │ ├── dcrnn_model.py │ │ ├── evolve_gcn_model.py │ │ ├── gated_gn_model.py │ │ ├── graph_wavenet_model.py │ │ ├── grin_model.py │ │ ├── gru_gcn_model.py │ │ ├── rnn_gcn_model.py │ │ └── stcn_model.py │ └── temporal │ │ ├── __init__.py │ │ ├── linear_models.py │ │ ├── rnn_imputers_models.py │ │ ├── rnn_model.py │ │ ├── tcn_model.py │ │ └── transformer_model.py └── utils.py ├── ops ├── __init__.py ├── az_test.py ├── connectivity.py ├── framearray.py ├── graph_generators │ ├── __init__.py │ ├── circle_graph.py │ ├── knn_graph.py │ ├── line_graph.py │ └── tri_community_graph.py ├── imputation.py ├── pattern.py └── similarities.py ├── transforms ├── __init__.py ├── imputation.py ├── masked_subgraph.py └── rearrange.py ├── typing.py └── utils ├── __init__.py ├── casting.py ├── experiment.py ├── io.py ├── parser_utils.py └── python_utils.py /LICENSE: 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