Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | Q | R | S | T | U | V | W | Z A amazon_ratings() (in module graphnetz.datasets.social) as_skitter() (in module graphnetz.datasets.computing) B BenchmarkReport (class in graphnetz.benchmark) board_directors() (in module graphnetz.datasets.finance) bootstrap_n (graphnetz.benchmark.BenchmarkReport attribute) bootstrap_seed (graphnetz.benchmark.BenchmarkReport attribute) budapest_connectome() (in module graphnetz.datasets.biology) build() (graphnetz.benchmark.ModelSpec method) C celegans() (in module graphnetz.datasets.biology) ci_method (graphnetz.benchmark.BenchmarkReport attribute) cifar10_superpixels() (in module graphnetz.datasets.vision) citeseer() (in module graphnetz.datasets.social) cls (graphnetz.benchmark.ModelSpec attribute) config (graphnetz.benchmark.BenchmarkReport attribute) cora() (in module graphnetz.datasets.social) D dblp_coauthor() (in module graphnetz.datasets.social) decode() (graphnetz.models._adapters.LinkPredWrapper static method) (graphnetz.models._adapters.RelationalLinkPredWrapper method) DGI (class in graphnetz.models) DGIWrapper (class in graphnetz.models._adapters) dnc_emails() (in module graphnetz.datasets.social) download() (graphnetz.datasets.Netz method) download_all_networks_netz() (in module graphnetz.datasets) E elliptic_bitcoin() (in module graphnetz.datasets.finance) encode() (graphnetz.models._adapters.LinkPredWrapper method) (graphnetz.models._adapters.RelationalLinkPredWrapper method) enzymes() (in module graphnetz.datasets.biology) epochs (graphnetz.benchmark.Task attribute) eu_airlines() (in module graphnetz.datasets.infrastructure) euroroad() (in module graphnetz.datasets.infrastructure) F facebook_friends() (in module graphnetz.datasets.social) factory (graphnetz.benchmark.ModelSpec attribute) fb15k_237() (in module graphnetz.datasets.knowledge) figure() (in module graphnetz.plotting) final_metrics() (graphnetz.benchmark.BenchmarkReport method) forward() (graphnetz.models._adapters.DGIWrapper method) (graphnetz.models._adapters.GraphLevelWrapper method) (graphnetz.models._adapters.LinkPredWrapper method) (graphnetz.models._adapters.RelationalLinkPredWrapper method) (graphnetz.models.DGI method) (graphnetz.models.GAT method) (graphnetz.models.GCN method) (graphnetz.models.GIN method) (graphnetz.models.GraphSAGE method) (graphnetz.models.GraphTransformer method) friedman() (graphnetz.benchmark.BenchmarkReport method) G GAT (class in graphnetz.models) GCN (class in graphnetz.models) GIN (class in graphnetz.models) GraphLevelWrapper (class in graphnetz.models._adapters) graphnetz.benchmark module graphnetz.datasets module graphnetz.datasets.biology module graphnetz.datasets.combinatorial module graphnetz.datasets.computing module graphnetz.datasets.finance module graphnetz.datasets.infrastructure module graphnetz.datasets.knowledge module graphnetz.datasets.physics module graphnetz.datasets.security module graphnetz.datasets.social module graphnetz.datasets.vision module graphnetz.models module graphnetz.models._adapters module graphnetz.plotting module graphnetz.training module GraphSAGE (class in graphnetz.models) GraphTransformer (class in graphnetz.models) H high_school_contacts() (in module graphnetz.datasets.biology) histories (graphnetz.benchmark.BenchmarkReport attribute) hospital_contacts() (in module graphnetz.datasets.biology) I internet_as() (in module graphnetz.datasets.computing) ising_lattice() (in module graphnetz.datasets.physics) IsingLattice (class in graphnetz.datasets.physics) items() (graphnetz.benchmark.BenchmarkReport method) iter_benchmark_tasks() (in module graphnetz.benchmark) K karate() (in module graphnetz.datasets.social) keys() (graphnetz.benchmark.BenchmarkReport method) L LinkPredWrapper (class in graphnetz.models._adapters) list_datasets() (in module graphnetz.datasets) loader (graphnetz.benchmark.Task attribute) london_transport() (in module graphnetz.datasets.infrastructure) loss() (graphnetz.models._adapters.DGIWrapper method) (graphnetz.models.DGI method) M malnet_tiny() (in module graphnetz.datasets.security) metric_name() (graphnetz.benchmark.BenchmarkReport method) minesweeper() (in module graphnetz.datasets.social) mnist_superpixels() (in module graphnetz.datasets.vision) modelnet10() (in module graphnetz.datasets.vision) modelnet40() (in module graphnetz.datasets.vision) ModelSpec (class in graphnetz.benchmark) module graphnetz.benchmark graphnetz.datasets graphnetz.datasets.biology graphnetz.datasets.combinatorial graphnetz.datasets.computing graphnetz.datasets.finance graphnetz.datasets.infrastructure graphnetz.datasets.knowledge graphnetz.datasets.physics graphnetz.datasets.security graphnetz.datasets.social graphnetz.datasets.vision graphnetz.models graphnetz.models._adapters graphnetz.plotting graphnetz.training movielens100k() (in module graphnetz.datasets.social) mutag() (in module graphnetz.datasets.biology) N name (graphnetz.benchmark.Task attribute) Netz (class in graphnetz.datasets) O ogbg_molhiv() (in module graphnetz.datasets.biology) ogbg_molpcba() (in module graphnetz.datasets.biology) ogbl_collab() (in module graphnetz.datasets.social) ogbn_arxiv() (in module graphnetz.datasets.social) ogbn_products() (in module graphnetz.datasets.finance) P pairwise() (graphnetz.benchmark.BenchmarkReport method) pairwise_method (graphnetz.benchmark.BenchmarkReport attribute) pairwise_to_latex() (graphnetz.benchmark.BenchmarkReport method) panel_label() (in module graphnetz.plotting) peptides_func() (in module graphnetz.datasets.biology) peptides_struct() (in module graphnetz.datasets.biology) plot() (graphnetz.benchmark.BenchmarkReport method) plot_benchmark() (in module graphnetz.benchmark) plot_critical_difference() (graphnetz.benchmark.BenchmarkReport method) plot_forest() (graphnetz.benchmark.BenchmarkReport method) plot_grouped_bars() (in module graphnetz.plotting) plot_history() (in module graphnetz.plotting) plot_learning_curves() (graphnetz.benchmark.BenchmarkReport method) plot_pairwise() (graphnetz.benchmark.BenchmarkReport method) power_grid() (in module graphnetz.datasets.infrastructure) ppi() (in module graphnetz.datasets.biology) process() (graphnetz.datasets.combinatorial.RandomBipartiteMatching method) (graphnetz.datasets.combinatorial.RandomColoring method) (graphnetz.datasets.combinatorial.RandomMaxFlow method) (graphnetz.datasets.combinatorial.RandomTSP method) (graphnetz.datasets.combinatorial.RandomVRP method) (graphnetz.datasets.Netz method) (graphnetz.datasets.physics.IsingLattice method) processed_dir (graphnetz.datasets.Netz property) processed_file_names (graphnetz.datasets.combinatorial.RandomBipartiteMatching property) (graphnetz.datasets.combinatorial.RandomColoring property) (graphnetz.datasets.combinatorial.RandomMaxFlow property) (graphnetz.datasets.combinatorial.RandomTSP property) (graphnetz.datasets.combinatorial.RandomVRP property) (graphnetz.datasets.Netz property) (graphnetz.datasets.physics.IsingLattice property) product_space() (in module graphnetz.datasets.finance) proteins() (in module graphnetz.datasets.biology) pubmed() (in module graphnetz.datasets.social) Q qm9() (in module graphnetz.datasets.physics) questions() (in module graphnetz.datasets.social) R random_bipartite_matching() (in module graphnetz.datasets.combinatorial) random_coloring() (in module graphnetz.datasets.combinatorial) random_maxcut() (in module graphnetz.datasets.combinatorial) random_maxflow() (in module graphnetz.datasets.combinatorial) random_tsp() (in module graphnetz.datasets.combinatorial) random_vrp() (in module graphnetz.datasets.combinatorial) RandomBipartiteMatching (class in graphnetz.datasets.combinatorial) RandomColoring (class in graphnetz.datasets.combinatorial) RandomMaxCut (in module graphnetz.datasets.combinatorial) RandomMaxFlow (class in graphnetz.datasets.combinatorial) RandomTSP (class in graphnetz.datasets.combinatorial) RandomVRP (class in graphnetz.datasets.combinatorial) raw_dir (graphnetz.datasets.Netz property) raw_file_names (graphnetz.datasets.Netz property) register_model() (in module graphnetz.benchmark) register_task() (in module graphnetz.benchmark) RelationalLinkPredWrapper (class in graphnetz.models._adapters) roman_empire() (in module graphnetz.datasets.social) route_views() (in module graphnetz.datasets.computing) run_benchmark() (in module graphnetz.benchmark) S save_figure() (in module graphnetz.benchmark) (in module graphnetz.plotting) seeds (graphnetz.benchmark.BenchmarkReport attribute) set_plot_style() (in module graphnetz.plotting) shapenet() (in module graphnetz.datasets.vision) summary() (graphnetz.benchmark.BenchmarkReport method) T Task (class in graphnetz.benchmark) task_from_dataset() (in module graphnetz.benchmark) task_type (graphnetz.benchmark.ModelSpec attribute) (graphnetz.benchmark.Task attribute) terrorists_911() (in module graphnetz.datasets.security) to_latex() (graphnetz.benchmark.BenchmarkReport method) tolokers() (in module graphnetz.datasets.social) topology() (in module graphnetz.datasets.computing) train_dgi() (in module graphnetz.training) train_graph_classification() (in module graphnetz.training) train_graph_regression() (in module graphnetz.training) train_link_prediction() (in module graphnetz.training) train_node_classification() (in module graphnetz.training) train_node_degree_regression() (in module graphnetz.training) train_relational_link_prediction() (in module graphnetz.training) train_terrorists() (in module graphnetz.datasets.security) U unregister_task() (in module graphnetz.benchmark) urban_streets() (in module graphnetz.datasets.infrastructure) us_patents() (in module graphnetz.datasets.finance) us_roads() (in module graphnetz.datasets.infrastructure) V values() (graphnetz.benchmark.BenchmarkReport method) W wikics() (in module graphnetz.datasets.social) wordnet18rr() (in module graphnetz.datasets.knowledge) wordnet_netz() (in module graphnetz.datasets.knowledge) Z zinc() (in module graphnetz.datasets.physics)