AutoGL

    An autoML framework & toolkit for machine learning on graphs.

    Language: python

    Author: GitHub Repos (@github-repos)

    0 stars · 3 views

    Files

    • conf.py (py)
    • requirements.txt (txt)
    • test (txt)
    • preprocessing (txt)
    • structure.py (py)
    • utils.py (py)
    • nas (txt)
    • node_classification.py (py)
    • bench.py (py)
    • bench_mp.py (py)
    • backend.py (py)
    • performance (txt)
    • node_classification (txt)
    • pyg (txt)
    • docs (txt)
    • Makefile (txt)
    • docfile (txt)
    • documentation (txt)
    • model (txt)
    • dataset (txt)
    • tutorial_cn (txt)
    • tutorial (txt)
    • base.py (py)
    • trainer_dataset.py (py)
    • model.py (py)
    • trainer.py (py)
    • model_decouple.py (py)
    • helper.py (py)
    • solver.py (py)
    • dgl (txt)
    • anneal_advisorhpo.py (py)
    • autone_file (txt)
    • utils.py (py)
    • rand_advisor.py (py)
    • advisorbase.py (py)
    • cmaes_advisorchoco.py (py)
    • autone.py (py)
    • suggestion (txt)
    • __init__.py (py)
    • models.py (py)
    • early_stop_algorithm (txt)
    • base.py (py)
    • trainer_dataset.py (py)
    • early_stop_descending.py (py)
    • abstract_early_stop_test.py (py)
    • model.py (py)
    • trainer.py (py)
    • model_decouple.py (py)
    • helper.py (py)
    • solver.py (py)
    • heterogeneous (txt)
    • dgl (txt)
    • hgt_main.py (py)
    • han_main.py (py)
    • han_base (txt)
    • early_stop_first_trial_test.py (py)
    • base.py (py)
    • train_sampling.py (py)
    • model.py (py)
    • model_hetero.py (py)
    • utils.py (py)
    • train_hgt.py (py)
    • train_han.py (py)
    • hgt_base (txt)
    • base.py (py)
    • model.py (py)
    • helper.py (py)
    • solver.py (py)
    • robust (txt)
    • model_gnnguard_meta.py (py)
    • graph_classification (txt)
    • pyg (txt)
    • base.py (py)
    • trainer_dataset.py (py)
    • model.py (py)
    • trainer.py (py)
    • helper.py (py)
    • solver.py (py)
    • dgl (txt)
    • base.py (py)
    • trainer_dataset.py (py)
    • model.py (py)
    • trainer.py (py)
    • helper.py (py)
    • solver.py (py)
    • link_prediction (txt)
    • pyg (txt)
    • base.py (py)
    • trainer_dataset.py (py)
    • model.py (py)
    • trainer.py (py)
    • model_decouple.py (py)
    • helper.py (py)
    • solver.py (py)
    • dgl (txt)
    • base.py (py)
    • trainer_dataset.py (py)
    • model.py (py)
    • trainer.py (py)
    • helper.py (py)
    • solver.py (py)
    • performance_check.sh (sh)
    • dataset (txt)
    • utils.py (py)
    • solver (txt)
    • graph_classification.py (py)
    • node_classification.py (py)
    • link_prediction.py (py)
    • trainer (txt)
    • pyg (txt)
    • graph_classification.py (py)
    • node_classification.py (py)
    • early_stop_descending_test.py (py)
    • early_stop_first_trial.py (py)
    • no_early_stop_test.py (py)
    • abstract_early_stop.py (py)
    • no_early_stop.py (py)
    • algorithm (txt)
    • particle_swarm_optimization.py (py)
    • graphcl_ssl_full.py (py)
    • mocmaes.py (py)
    • base_hyperopt_algorithm.py (py)
    • link_prediction.py (py)
    • skopt_bayesian_optimization.py (py)
    • graphcl_ssl.py (py)
    • autogl (txt)
    • utils (txt)
    • device.py (py)
    • __init__.py (py)
    • log.py (py)
    • universal_registry.py (py)
    • backend (txt)
    • __init__.py (py)
    • _dependent_backend.py (py)
    • __init__.py (py)
    • datasets (txt)
    • utils (txt)
    • __init__.py (py)
    • _pyg.py (py)
    • _split_edges (txt)
    • _dgl_compatible.py (py)
    • __init__.py (py)
    • split_edges.py (py)
    • train_test_split_edges.py (py)
    • _pyg_compatible.py (py)
    • _general.py (py)
    • conversion (txt)
    • _to_pyg_dataset.py (py)
    • _to_dgl_dataset.py (py)
    • __init__.py (py)
    • _matlab_matrix.py (py)
    • _data_source.py (py)
    • __init__.py (py)
    • _gtn_data.py (py)
    • _pyg.py (py)
    • _dataset_registry.py (py)
    • _ogb.py (py)
    • _dgl.py (py)
    • _heterogeneous_datasets (txt)
    • __init__.py (py)
    • _dgl_heterogeneous_datasets.py (py)
    • module (txt)
    • _feature (txt)
    • auto_feature.py (py)
    • base.py (py)
    • __init__.py (py)
    • graph (txt)
    • nx.py (py)
    • base.py (py)
    • __init__.py (py)
    • netlsd.py (py)
    • selectors (txt)
    • se_filter_constant.py (py)
    • base.py (py)
    • __init__.py (py)
    • se_gbdt.py (py)
    • generators (txt)
    • eigen.py (py)
    • base.py (py)
    • __init__.py (py)
    • graphlet.py (py)
    • page_rank.py (py)
    • pyg.py (py)
    • utils.py (py)
    • hpo (txt)
    • mocmaes_advisorchoco.py (py)
    • grid_advisorchoco.py (py)
    • rand_advisorchoco.py (py)
    • quasi_advisorchoco.py (py)
    • base.py (py)
    • __init__.py (py)
    • tpe_advisorhpo.py (py)
    • _gcn.py (py)
    • _topk.py (py)
    • ATTRIBUTION.md (markdown)
    • util.py (py)
    • hyperopt_random_search.py (py)
    • abstract_algorithm.py (py)
    • chocolate_grid_search.py (py)
    • simulate_anneal.py (py)
    • base_skopt_algorithm.py (py)
    • grid_search.py (py)
    • random_search.py (py)
    • chocolate_random_search.py (py)
    • tpe.py (py)
    • quasi_random_search.py (py)
    • bayesian_optimization.py (py)
    • base_chocolate_algorithm.py (py)
    • cmaes.py (py)
    • chocolate_bayes.py (py)
    • migrations (txt)
    • 0001_initial.py (py)
    • bayes_advisor.py (py)
    • auto_module.py (py)
    • bayes_advisorchoco.py (py)
    • grid_advisor.py (py)
    • train (txt)
    • base.py (py)
    • __init__.py (py)
    • node_classification_het.py (py)
    • sampling (txt)
    • sampler (txt)
    • layer_dependent_importance_sampler.py (py)
    • target_dependant_sampler.py (py)
    • neighbor_sampler.py (py)
    • graphsaint_sampler.py (py)
    • ssl (txt)
    • base.py (py)
    • __init__.py (py)
    • graphcl.py (py)
    • views_fn.py (py)
    • losses.py (py)
    • utils.py (py)
    • link_prediction_full.py (py)
    • node_classification_trainer (txt)
    • __init__.py (py)
    • node_classification_sampled_trainer.py (py)
    • evaluation.py (py)
    • node_classification_full.py (py)
    • graph_classification_full.py (py)
    • __init__.py (py)
    • preprocessing (txt)
    • feature_engineering (txt)
    • _generators (txt)
    • _page_rank.py (py)
    • __init__.py (py)
    • _pyg.py (py)
    • _eigen.py (py)
    • _pyg_impl.py (py)
    • _basic.py (py)
    • _graphlet.py (py)
    • _auto_feature_engineer.py (py)
    • _graph (txt)
    • _netlsd.py (py)
    • __init__.py (py)
    • _networkx.py (py)
    • __init__.py (py)
    • _feature_engineer.py (py)
    • _selectors (txt)
    • __init__.py (py)
    • _basic.py (py)
    • _gbdt.py (py)
    • _data_preprocessor (txt)
    • __init__.py (py)
    • _data_preprocessor.py (py)
    • _data_preprocessor_dgl.py (py)
    • __init__.py (py)
    • structure_engineering (txt)
    • __init__.py (py)
    • _gcn_jaccard.py (py)
    • _gcn_svd.py (py)
    • _structure_engineer.py (py)
    • _data_preprocessor_registry.py (py)
    • ensemble (txt)
    • base.py (py)
    • __init__.py (py)
    • voting.py (py)
    • stacking.py (py)
    • nas (txt)
    • scatter_utils.py (py)
    • __init__.py (py)
    • backend.py (py)
    • estimator (txt)
    • one_shot.py (py)
    • base.py (py)
    • __init__.py (py)
    • train_scratch.py (py)
    • grna_estimator.py (py)
    • algorithm (txt)
    • base.py (py)
    • __init__.py (py)
    • gasso.py (py)
    • random_search.py (py)
    • rl.py (py)
    • enas.py (py)
    • darts.py (py)
    • grna.py (py)
    • agnn_rl.py (py)
    • spos.py (py)
    • space (txt)
    • gasso_space (txt)
    • utils (txt)
    • jit.py (py)
    • inspector.py (py)
    • helpers.py (py)
    • typing.py (py)
    • gcn_conv.py (py)
    • inits.py (py)
    • message_passing.py (py)
    • cheb_conv.py (py)
    • __init__.py (py)
    • sage_conv.py (py)
    • gin_conv.py (py)
    • edge_conv.py (py)
    • arma_conv.py (py)
    • gat_conv.py (py)
    • base.py (py)
    • operation.py (py)
    • __init__.py (py)
    • gasso.py (py)
    • autoattend.py (py)
    • operation_dgl.py (py)
    • graph_nas.py (py)
    • graph_nas_macro.py (py)
    • single_path.py (py)
    • autoattend_space (txt)
    • ops2.py (py)
    • operations.py (py)
    • ops1.py (py)
    • grna.py (py)
    • operation_pyg.py (py)
    • utils.py (py)
    • feature (txt)
    • _generators (txt)
    • _page_rank.py (py)
    • __init__.py (py)
    • _pyg.py (py)
    • _eigen.py (py)
    • _pyg_impl.py (py)
    • _basic.py (py)
    • _graphlet.py (py)
    • _graph (txt)
    • _netlsd.py (py)
    • __init__.py (py)
    • _networkx.py (py)
    • _feature_engineer_registry.py (py)
    • __init__.py (py)
    • _base_feature_engineer (txt)
    • __init__.py (py)
    • _base_feature_engineer_pyg.py (py)
    • _base_feature_engineer.py (py)
    • _base_feature_engineer_dgl.py (py)
    • _auto_feature.py (py)
    • _selectors (txt)
    • __init__.py (py)
    • _basic.py (py)
    • _gbdt.py (py)
    • model (txt)
    • _utils (txt)
    • __init__.py (py)
    • activation.py (py)
    • pyg (txt)
    • gat.py (py)
    • base.py (py)
    • robust (txt)
    • nn (txt)
    • gcn_conv.py (py)
    • inits.py (py)
    • __init__.py (py)
    • gnnguard.py (py)
    • utils.py (py)
    • __init__.py (py)
    • topkpool.py (py)
    • _model_registry.py (py)
    • gcn.py (py)
    • graph_saint.py (py)
    • gin.py (py)
    • graphsage.py (py)
    • decoders (txt)
    • __init__.py (py)
    • decoder_registry.py (py)
    • _pyg (txt)
    • __init__.py (py)
    • _pyg_decoders.py (py)
    • base_decoder.py (py)
    • _dgl (txt)
    • _dgl_decoders.py (py)
    • __init__.py (py)
    • __init__.py (py)
    • encoders (txt)
    • __init__.py (py)
    • _pyg (txt)
    • _gat.py (py)
    • __init__.py (py)
    • _gin.py (py)
    • _gcn.py (py)
    • _sage.py (py)
    • _dgl (txt)
    • _gat.py (py)
    • __init__.py (py)
    • _gin.py (py)

    AutoGL

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    • Updated Jun 3, 2026
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    An autoML framework & toolkit for machine learning on graphs.

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    Created Jan 26, 2026