Index

A

AttentionExplainer (class in graph_explain.methods.attention.attention)

B

ba_shapes() (in module graph_explain.benchmarks.synthetic) Backend (class in graph_explain.backends.base)

build_data() (in module graph_explain.benchmarks.synthetic) build_graph_classification() (in module graph_explain.benchmarks.synthetic) build_parser() (in module graph_explain.cli)

C

compare() (in module graph_explain.core.benchmark)

D

DeepLift (class in graph_explain.methods.relevance.deeplift) default_mask_type() (in module graph_explain.backends.base)

describe() (graph_explain.narration.Narrator method) (in module graph_explain.narration)

E

edge_importance (graph_explain.core.explanation.Explanation attribute) edge_index() (graph_explain.backends.base.Backend method) (graph_explain.backends.base.PyGAdapter method) edge_weight() (graph_explain.backends.base.Backend method) (graph_explain.backends.base.PyGAdapter method) evaluate() (graph_explain.core.explanation.Explanation method) evaluate_fidelity() (in module graph_explain.core.evaluation) evaluate_fidelity_minus() (in module graph_explain.core.evaluation) evaluate_fidelity_plus() (in module graph_explain.core.evaluation)

evaluate_gea() (in module graph_explain.core.evaluation) evaluate_gea_graph() (in module graph_explain.core.evaluation) evaluate_sparsity() (in module graph_explain.core.evaluation) evaluate_stability() (in module graph_explain.core.evaluation) explain() (graph_explain.core.explainer.Explainer method) explain_graph() (graph_explain.core.explainer.Explainer method) explain_node() (graph_explain.core.explainer.Explainer method) Explainer (class in graph_explain.core.explainer) Explanation (class in graph_explain.core.explanation)

F

feature_importance (graph_explain.core.explanation.Explanation attribute)

forward() (graph_explain.backends.base.Backend method)

G

get_algorithm() (in module graph_explain.core.registry) get_backend() (in module graph_explain.backends.base) GNNExplainer (class in graph_explain.methods.perturbation.gnn_explainer) GNNGatedLRP (class in graph_explain.methods.relevance.gnn_lrp) GradXInput (class in graph_explain.methods.gradient.grad_x_input) graph_explain.backends.base module graph_explain.benchmarks.synthetic module graph_explain.cli module graph_explain.core.benchmark module graph_explain.core.evaluation module graph_explain.core.explainer module graph_explain.core.explanation module graph_explain.core.registry module graph_explain.methods.attention.attention module graph_explain.methods.baseline.random_baseline module graph_explain.methods.feature.graph_lime module graph_explain.methods.gradient.grad_x_input module

graph_explain.methods.gradient.guided_backprop module graph_explain.methods.gradient.integrated_gradients module graph_explain.methods.gradient.saliency module graph_explain.methods.perturbation.gnn_explainer module graph_explain.methods.perturbation.node_mask module graph_explain.methods.perturbation.pg_explainer module graph_explain.methods.perturbation.subgraphx module graph_explain.methods.relevance.deeplift module graph_explain.methods.relevance.gnn_lrp module graph_explain.narration module graph_explain.visualization module GraphLIME (class in graph_explain.methods.feature.graph_lime) ground_truth_edge_ids() (in module graph_explain.benchmarks.synthetic) ground_truth_edges_graph() (in module graph_explain.benchmarks.synthetic) ground_truth_nodes() (in module graph_explain.benchmarks.synthetic) GuidedBackprop (class in graph_explain.methods.gradient.guided_backprop)

I

instantiate() (in module graph_explain.core.registry)

IntegratedGradients (class in graph_explain.methods.gradient.integrated_gradients)

M

main() (in module graph_explain.cli) mask_threshold (graph_explain.core.explanation.Explanation attribute) metadata (graph_explain.core.explanation.Explanation attribute) module graph_explain.backends.base graph_explain.benchmarks.synthetic graph_explain.cli graph_explain.core.benchmark graph_explain.core.evaluation graph_explain.core.explainer graph_explain.core.explanation graph_explain.core.registry graph_explain.methods.attention.attention graph_explain.methods.baseline.random_baseline graph_explain.methods.feature.graph_lime graph_explain.methods.gradient.grad_x_input graph_explain.methods.gradient.guided_backprop graph_explain.methods.gradient.integrated_gradients graph_explain.methods.gradient.saliency graph_explain.methods.perturbation.gnn_explainer graph_explain.methods.perturbation.node_mask graph_explain.methods.perturbation.pg_explainer graph_explain.methods.perturbation.subgraphx graph_explain.methods.relevance.deeplift graph_explain.methods.relevance.gnn_lrp graph_explain.narration graph_explain.visualization

N

name (graph_explain.backends.base.Backend attribute) (graph_explain.backends.base.PyGAdapter attribute) narrate() (graph_explain.narration.Narrator method) (in module graph_explain.narration) Narrator (class in graph_explain.narration) node_features() (graph_explain.backends.base.Backend method) (graph_explain.backends.base.PyGAdapter method)

node_idx (graph_explain.core.explanation.Explanation attribute) node_importance (graph_explain.core.explanation.Explanation attribute) node_labels() (graph_explain.backends.base.Backend method) (graph_explain.backends.base.PyGAdapter method) NodeMask (class in graph_explain.methods.perturbation.node_mask) num_nodes() (graph_explain.backends.base.Backend method) (graph_explain.backends.base.PyGAdapter method)

P

PGExplainer (class in graph_explain.methods.perturbation.pg_explainer) prediction_explanation (graph_explain.core.explanation.Explanation attribute)

prediction_original (graph_explain.core.explanation.Explanation attribute) PyGAdapter (class in graph_explain.backends.base)

R

RandomBaseline (class in graph_explain.methods.baseline.random_baseline)

register() (in module graph_explain.core.registry) report_html() (in module graph_explain.core.benchmark)

S

Saliency (class in graph_explain.methods.gradient.saliency) show() (in module graph_explain.visualization) subgraph (graph_explain.core.explanation.Explanation attribute)

SubgraphX (class in graph_explain.methods.perturbation.subgraphx) summarize() (in module graph_explain.narration) supports_edge_weight() (graph_explain.backends.base.Backend method)

T

target_class (graph_explain.core.explanation.Explanation attribute) to_networkx() (graph_explain.backends.base.Backend method) (graph_explain.backends.base.PyGAdapter method) (graph_explain.core.explanation.Explanation method)

V

visualize_interactive() (in module graph_explain.visualization)

visualize_static() (in module graph_explain.visualization)