Index

A

AdditiveLoss (class in pydgn.training.callback.metric)

atomic_save() (in module pydgn.training.util)

C

check_argument() (in module pydgn.data.util) choice() (in module pydgn.evaluation.util) Classification (class in pydgn.training.callback.metric) clear_screen() (in module pydgn.evaluation.util) ConcatFromListDataset (class in pydgn.data.dataset) Config (class in pydgn.evaluation.config) ConstantEdgeIfEmpty (class in pydgn.data.transform)

ConstantIfEmpty (class in pydgn.data.transform) create_incremental_engine() (pydgn.experiment.experiment.Experiment method) create_incremental_model() (pydgn.experiment.experiment.Experiment method) create_supervised_engine() (pydgn.experiment.experiment.Experiment method) create_supervised_model() (pydgn.experiment.experiment.Experiment method) create_supervised_readout() (pydgn.experiment.experiment.Experiment method) create_unsupervised_engine() (pydgn.experiment.experiment.Experiment method) create_unsupervised_model() (pydgn.experiment.experiment.Experiment method)

D

data_source (pydgn.data.sampler.RandomSampler attribute) DataProvider (class in pydgn.data.provider) DatasetInterface (class in pydgn.data.dataset) Degree (class in pydgn.data.transform) dim_edge_features (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) (pydgn.data.dataset.PlanetoidDatasetInterface property) (pydgn.data.dataset.TUDatasetInterface property) dim_node_features (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) (pydgn.data.dataset.PlanetoidDatasetInterface property) (pydgn.data.dataset.TUDatasetInterface property)

dim_target (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) (pydgn.data.dataset.PlanetoidDatasetInterface property) (pydgn.data.dataset.TUDatasetInterface property) DotProductLink (class in pydgn.training.callback.metric) DotProductLinkReadout (class in pydgn.model.readout.link_readout) download() (pydgn.data.dataset.ConcatFromListDataset method) (pydgn.data.dataset.DatasetInterface method) (pydgn.data.dataset.OGBGDatasetInterface method) (pydgn.data.dataset.PlanetoidDatasetInterface method) (pydgn.data.dataset.TUDatasetInterface method)

E

EarlyStopper (class in pydgn.training.callback.early_stopping) EngineCallback (class in pydgn.training.callback.engine_callback) EpochScheduler (class in pydgn.training.callback.scheduler)

EventDispatcher (class in pydgn.training.event.dispatcher) EventHandler (class in pydgn.training.event.handler) exp_name (pydgn.evaluation.grid.Grid property) Experiment (class in pydgn.experiment.experiment)

F

filter_adj() (in module pydgn.data.util) Fold (class in pydgn.data.splitter) forward() (pydgn.model.dgn.toy_dgn.ToyDGN method) (pydgn.model.dgn.toy_mlp.ToyMLP method) (pydgn.model.interface.ModelInterface method) (pydgn.model.interface.ReadoutInterface method) (pydgn.model.readout.graph_readout.LinearGraphReadout method) (pydgn.model.readout.link_readout.DotProductLinkReadout method) (pydgn.model.readout.node_readout.LinearNodeReadout method) (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Classification method) (pydgn.training.callback.metric.DotProductLink method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MulticlassAccuracy method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.callback.metric.Regression method) (pydgn.training.callback.metric.ToyMetric method) (pydgn.training.callback.metric.ToyUnsupervisedMetric method)

G

get() (pydgn.data.dataset.DatasetInterface method) get_dim_edge_features() (pydgn.data.provider.DataProvider method) get_dim_node_features() (pydgn.data.provider.DataProvider method) get_dim_target() (pydgn.data.provider.DataProvider method) get_graph_targets() (pydgn.data.splitter.Splitter method) get_idx_split() (pydgn.data.dataset.OGBGDatasetInterface method) get_inner_train() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) get_inner_val() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method)

get_main_metric_name() (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) get_or_create_dir() (in module pydgn.data.util) get_outer_test() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) get_outer_train() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) get_outer_val() (pydgn.data.provider.DataProvider method) (pydgn.data.provider.LinkPredictionSingleGraphDataProvider method) GradientClipper (class in pydgn.training.callback.gradient_clipping) Grid (class in pydgn.evaluation.grid)

I

infer() (pydgn.training.engine.TrainingEngine method)

InnerFold (class in pydgn.data.splitter) items() (pydgn.evaluation.config.Config method)

K

keys() (pydgn.evaluation.config.Config method)

L

len() (pydgn.data.dataset.DatasetInterface method) LinearGraphReadout (class in pydgn.model.readout.graph_readout) LinearNodeReadout (class in pydgn.model.readout.node_readout) LinkPredictionSingleGraphDataProvider (class in pydgn.data.provider) LinkPredictionSingleGraphEngine (class in pydgn.training.engine) LinkPredictionSingleGraphSplitter (class in pydgn.data.splitter)

load() (pydgn.data.splitter.Splitter class method) load_dataset() (in module pydgn.data.util) load_state_dict() (pydgn.training.callback.optimizer.Optimizer method) log() (in module pydgn.training.engine) (pydgn.log.logger.Logger method) Logger (class in pydgn.log.logger) loguniform() (in module pydgn.evaluation.util)

M

MeanSquareError (class in pydgn.training.callback.metric) Metric (class in pydgn.training.callback.metric) MetricScheduler (class in pydgn.training.callback.scheduler) model_selection() (pydgn.evaluation.evaluator.RiskAssesser method) ModelInterface (class in pydgn.model.interface) module pydgn pydgn.data.dataset pydgn.data.provider pydgn.data.sampler pydgn.data.splitter pydgn.data.transform pydgn.data.util pydgn.evaluation.config pydgn.evaluation.evaluator pydgn.evaluation.grid pydgn.evaluation.random_search pydgn.evaluation.util pydgn.experiment.experiment pydgn.experiment.semi_supervised_task pydgn.experiment.supervised_task pydgn.experiment.util pydgn.log.logger pydgn.model.dgn.toy_dgn pydgn.model.dgn.toy_mlp pydgn.model.interface pydgn.model.readout.graph_readout pydgn.model.readout.link_readout pydgn.model.readout.node_readout pydgn.training.callback.early_stopping pydgn.training.callback.engine_callback pydgn.training.callback.gradient_clipping pydgn.training.callback.metric pydgn.training.callback.optimizer pydgn.training.callback.plotter pydgn.training.callback.scheduler pydgn.training.engine pydgn.training.event.dispatcher pydgn.training.event.handler pydgn.training.event.state pydgn.training.profiler pydgn.training.util

MulticlassAccuracy (class in pydgn.training.callback.metric) MulticlassClassification (class in pydgn.training.callback.metric) MultiScore (class in pydgn.training.callback.metric)

N

name (pydgn.training.callback.metric.AdditiveLoss property) (pydgn.training.callback.metric.Classification property) (pydgn.training.callback.metric.DotProductLink property) (pydgn.training.callback.metric.MeanSquareError property) (pydgn.training.callback.metric.Metric property) (pydgn.training.callback.metric.MulticlassAccuracy property) (pydgn.training.callback.metric.MulticlassClassification property) (pydgn.training.callback.metric.MultiScore property) (pydgn.training.callback.metric.Regression property) (pydgn.training.callback.metric.ToyMetric property) (pydgn.training.callback.metric.ToyUnsupervisedMetric property)

normal() (in module pydgn.evaluation.util) NoShuffleTrainTestSplit (class in pydgn.data.splitter) num_configs (pydgn.evaluation.grid.Grid property)

O

OGBGDatasetInterface (class in pydgn.data.dataset) OGBGSplitter (class in pydgn.data.splitter) ON_BACKWARD (pydgn.training.event.handler.EventHandler attribute) on_backward() (pydgn.training.callback.gradient_clipping.GradientClipper method) (pydgn.training.callback.metric.Metric method) (pydgn.training.event.handler.EventHandler method) ON_COMPUTE_METRICS (pydgn.training.event.handler.EventHandler attribute) on_compute_metrics() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.event.handler.EventHandler method) ON_EPOCH_END (pydgn.training.event.handler.EventHandler attribute) on_epoch_end() (pydgn.training.callback.early_stopping.EarlyStopper method) (pydgn.training.callback.engine_callback.EngineCallback method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.callback.plotter.Plotter method) (pydgn.training.callback.scheduler.MetricScheduler method) (pydgn.training.callback.scheduler.Scheduler method) (pydgn.training.event.handler.EventHandler method) ON_EPOCH_START (pydgn.training.event.handler.EventHandler attribute) on_epoch_start() (pydgn.training.event.handler.EventHandler method) ON_EVAL_BATCH_END (pydgn.training.event.handler.EventHandler attribute) on_eval_batch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.event.handler.EventHandler method) ON_EVAL_BATCH_START (pydgn.training.event.handler.EventHandler attribute) on_eval_batch_start() (pydgn.training.event.handler.EventHandler method) ON_EVAL_EPOCH_END (pydgn.training.event.handler.EventHandler attribute) on_eval_epoch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.event.handler.EventHandler method) ON_EVAL_EPOCH_START (pydgn.training.event.handler.EventHandler attribute) on_eval_epoch_start() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.event.handler.EventHandler method)

ON_FETCH_DATA (pydgn.training.event.handler.EventHandler attribute) on_fetch_data() (pydgn.training.callback.engine_callback.EngineCallback method) (pydgn.training.event.handler.EventHandler method) ON_FIT_END (pydgn.training.event.handler.EventHandler attribute) on_fit_end() (pydgn.training.callback.plotter.Plotter method) (pydgn.training.event.handler.EventHandler method) ON_FIT_START (pydgn.training.event.handler.EventHandler attribute) on_fit_start() (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.callback.scheduler.Scheduler method) (pydgn.training.event.handler.EventHandler method) ON_FORWARD (pydgn.training.event.handler.EventHandler attribute) on_forward() (pydgn.training.callback.engine_callback.EngineCallback method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_BATCH_END (pydgn.training.event.handler.EventHandler attribute) on_training_batch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_BATCH_START (pydgn.training.event.handler.EventHandler attribute) on_training_batch_start() (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_EPOCH_END (pydgn.training.event.handler.EventHandler attribute) on_training_epoch_end() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.callback.scheduler.EpochScheduler method) (pydgn.training.event.handler.EventHandler method) ON_TRAINING_EPOCH_START (pydgn.training.event.handler.EventHandler attribute) on_training_epoch_start() (pydgn.training.callback.metric.AdditiveLoss method) (pydgn.training.callback.metric.Metric method) (pydgn.training.callback.metric.MultiScore method) (pydgn.training.callback.optimizer.Optimizer method) (pydgn.training.event.handler.EventHandler method) Optimizer (class in pydgn.training.callback.optimizer) OuterFold (class in pydgn.data.splitter)

P

PatienceEarlyStopper (class in pydgn.training.callback.early_stopping) PlanetoidDatasetInterface (class in pydgn.data.dataset) Plotter (class in pydgn.training.callback.plotter) preprocess_data() (in module pydgn.data.util) process() (pydgn.data.dataset.ConcatFromListDataset method) (pydgn.data.dataset.DatasetInterface method) (pydgn.data.dataset.OGBGDatasetInterface method) (pydgn.data.dataset.PlanetoidDatasetInterface method) (pydgn.data.dataset.TUDatasetInterface method) process_config() (pydgn.evaluation.evaluator.RiskAssesser method) process_final_runs() (pydgn.evaluation.evaluator.RiskAssesser method) process_inner_results() (pydgn.evaluation.evaluator.RiskAssesser method) process_outer_results() (pydgn.evaluation.evaluator.RiskAssesser method) processed_file_names (pydgn.data.dataset.ConcatFromListDataset property) (pydgn.data.dataset.DatasetInterface property) (pydgn.data.dataset.OGBGDatasetInterface property) Profiler (class in pydgn.training.profiler) ProgressManager (class in pydgn.evaluation.util) pydgn module pydgn.data.dataset module pydgn.data.provider module pydgn.data.sampler module pydgn.data.splitter module pydgn.data.transform module pydgn.data.util module pydgn.evaluation.config module pydgn.evaluation.evaluator module pydgn.evaluation.grid module pydgn.evaluation.random_search module pydgn.evaluation.util module pydgn.experiment.experiment module pydgn.experiment.semi_supervised_task module

pydgn.experiment.supervised_task module pydgn.experiment.util module pydgn.log.logger module pydgn.model.dgn.toy_dgn module pydgn.model.dgn.toy_mlp module pydgn.model.interface module pydgn.model.readout.graph_readout module pydgn.model.readout.link_readout module pydgn.model.readout.node_readout module pydgn.training.callback.early_stopping module pydgn.training.callback.engine_callback module pydgn.training.callback.gradient_clipping module pydgn.training.callback.metric module pydgn.training.callback.optimizer module pydgn.training.callback.plotter module pydgn.training.callback.scheduler module pydgn.training.engine module pydgn.training.event.dispatcher module pydgn.training.event.handler module pydgn.training.event.state module pydgn.training.profiler module pydgn.training.util module

R

randint() (in module pydgn.evaluation.util) RandomSampler (class in pydgn.data.sampler) RandomSearch (class in pydgn.evaluation.random_search) raw_file_names (pydgn.data.dataset.ConcatFromListDataset property) (pydgn.data.dataset.DatasetInterface property) ReadoutInterface (class in pydgn.model.interface) refresh() (pydgn.evaluation.util.ProgressManager method) register() (pydgn.training.event.dispatcher.EventDispatcher method) Regression (class in pydgn.training.callback.metric) replacement (pydgn.data.sampler.RandomSampler attribute)

report() (pydgn.training.profiler.Profiler method) return_class_and_args() (in module pydgn.evaluation.util) risk_assessment() (pydgn.evaluation.evaluator.RiskAssesser method) RiskAssesser (class in pydgn.evaluation.evaluator) run_final_model() (pydgn.evaluation.evaluator.RiskAssesser method) run_test() (pydgn.experiment.experiment.Experiment method) (pydgn.experiment.semi_supervised_task.SemiSupervisedTask method) (pydgn.experiment.supervised_task.SupervisedTask method) run_valid() (pydgn.experiment.experiment.Experiment method) (pydgn.experiment.semi_supervised_task.SemiSupervisedTask method) (pydgn.experiment.supervised_task.SupervisedTask method)

S

s2c() (in module pydgn.experiment.util) save() (pydgn.data.splitter.Splitter method) Scheduler (class in pydgn.training.callback.scheduler) seed_worker() (in module pydgn.data.provider) SemiSupervisedTask (class in pydgn.experiment.semi_supervised_task) set_device() (pydgn.training.engine.TrainingEngine method) set_eval_mode() (pydgn.training.engine.TrainingEngine method) set_exp_seed() (pydgn.data.provider.DataProvider method) set_gpus() (in module pydgn.evaluation.util) set_inner_k() (pydgn.data.provider.DataProvider method) set_outer_k() (pydgn.data.provider.DataProvider method)

set_training_mode() (pydgn.training.engine.TrainingEngine method) show_footer() (pydgn.evaluation.util.ProgressManager method) show_header() (pydgn.evaluation.util.ProgressManager method) split() (pydgn.data.splitter.LinkPredictionSingleGraphSplitter method) (pydgn.data.splitter.NoShuffleTrainTestSplit method) (pydgn.data.splitter.OGBGSplitter method) (pydgn.data.splitter.Splitter method) Splitter (class in pydgn.data.splitter) State (class in pydgn.training.event.state) stop() (pydgn.training.callback.early_stopping.EarlyStopper method) (pydgn.training.callback.early_stopping.PatienceEarlyStopper method) SupervisedTask (class in pydgn.experiment.supervised_task)

T

to_lower_triangular() (in module pydgn.data.splitter) todict() (pydgn.data.splitter.InnerFold method) (pydgn.data.splitter.OuterFold method) ToyDGN (class in pydgn.model.dgn.toy_dgn) ToyMetric (class in pydgn.training.callback.metric) ToyMLP (class in pydgn.model.dgn.toy_mlp) ToyUnsupervisedMetric (class in pydgn.training.callback.metric) train() (pydgn.training.engine.TrainingEngine method) train_val_test_edge_split() (pydgn.data.splitter.LinkPredictionSingleGraphSplitter method) training (pydgn.model.dgn.toy_dgn.ToyDGN attribute) (pydgn.model.dgn.toy_mlp.ToyMLP attribute) (pydgn.model.interface.ModelInterface attribute) (pydgn.model.interface.ReadoutInterface attribute) (pydgn.model.readout.graph_readout.LinearGraphReadout attribute) (pydgn.model.readout.link_readout.DotProductLinkReadout attribute) (pydgn.model.readout.node_readout.LinearNodeReadout attribute) (pydgn.training.callback.metric.AdditiveLoss attribute) (pydgn.training.callback.metric.Classification attribute) (pydgn.training.callback.metric.DotProductLink attribute) (pydgn.training.callback.metric.MeanSquareError attribute) (pydgn.training.callback.metric.Metric attribute) (pydgn.training.callback.metric.MulticlassAccuracy attribute) (pydgn.training.callback.metric.MulticlassClassification attribute) (pydgn.training.callback.metric.MultiScore attribute) (pydgn.training.callback.metric.Regression attribute) (pydgn.training.callback.metric.ToyMetric attribute) (pydgn.training.callback.metric.ToyUnsupervisedMetric attribute)

TrainingEngine (class in pydgn.training.engine) TUDatasetInterface (class in pydgn.data.dataset)

U

uniform() (in module pydgn.evaluation.util) unregister() (pydgn.training.event.dispatcher.EventDispatcher method)

update() (pydgn.training.event.state.State method) update_state() (pydgn.evaluation.util.ProgressManager method)

W

wait_configs() (pydgn.evaluation.evaluator.RiskAssesser method)

Z

ZipDataset (class in pydgn.data.dataset)