Index

_

__init__() (gsnn.gsnn.interpret.ContrastiveIGExplainer method) (gsnn.gsnn.interpret.ContrastiveOcclusionExplainer method) (gsnn.gsnn.interpret.CounterfactualExplainer method) (gsnn.gsnn.interpret.GSNNExplainer method) (gsnn.gsnn.interpret.IGExplainer method) (gsnn.gsnn.interpret.NoiseTunnel method) (gsnn.gsnn.interpret.OcclusionExplainer method) (gsnn.gsnn.optim.TrainingDiagnostics method) (gsnn.interpret.ContrastiveIGExplainer method) (gsnn.interpret.ContrastiveOcclusionExplainer method) (gsnn.interpret.CounterfactualExplainer method) (gsnn.interpret.GSNNExplainer method) (gsnn.interpret.IGExplainer method) (gsnn.interpret.NoiseTunnel method) (gsnn.interpret.OcclusionExplainer method) (gsnn.optim.TrainingDiagnostics method)

A

add_hparam_results() (gsnn.gsnn.models.utils.TBLogger method) (gsnn.models.utils.TBLogger method) adjust_label_positions() (in module gsnn.gsnn.interpret.plot_explanation_graph) (in module gsnn.interpret.plot_explanation_graph) analyze() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.GradDiagnostics.GradDiagnostics method)

apply_norm_and_nonlin() (in module gsnn.gsnn.models.GSNN) (in module gsnn.models.GSNN) augment_edge_index() (gsnn.gsnn.optim.Environment.Environment method) (gsnn.optim.Environment.Environment method)

B

batch_graphs() (in module gsnn.gsnn.models.SparseLinear) (in module gsnn.models.SparseLinear) bfs_distance() (in module gsnn.gsnn.proc.subset) (in module gsnn.proc.subset) bootstrap_r() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils)

bounding_box_overlap() (in module gsnn.gsnn.interpret.plot_explanation_graph) (in module gsnn.interpret.plot_explanation_graph) build() (gsnn.gsnn.proc.construct.GSNNNetworkConstructor method) (gsnn.proc.construct.GSNNNetworkConstructor method) build_nx() (in module gsnn.gsnn.proc.subset) (in module gsnn.proc.subset)

C

ChannelEMANorm (class in gsnn.gsnn.models.ChannelEMANorm) (class in gsnn.models.ChannelEMANorm) compute_ECE() (in module gsnn.gsnn.optim.utils) (in module gsnn.optim.utils) compute_picp() (in module gsnn.gsnn.optim.utils) (in module gsnn.optim.utils) compute_sample_weights() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) compute_scalar_mmd() (in module gsnn.gsnn.external.mmd) (in module gsnn.gsnn.ot.mmd) ContrastiveGSNNExplainer (class in gsnn.gsnn.interpret.ContrastiveGSNNExplainer) (class in gsnn.interpret.ContrastiveGSNNExplainer)

ContrastiveIGExplainer (class in gsnn.gsnn.interpret), [1] (class in gsnn.interpret), [1] ContrastiveOcclusionExplainer (class in gsnn.gsnn.interpret), [1] (class in gsnn.interpret), [1] Conv (class in gsnn.gsnn.models.SparseLinear) (class in gsnn.models.SparseLinear) corr_score() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) CounterfactualExplainer (class in gsnn.gsnn.interpret), [1] (class in gsnn.interpret), [1]

D

dbscan_silhouette_score() (in module gsnn.gsnn.optim.utils) (in module gsnn.optim.utils) dense_func_node (class in gsnn.gsnn.interpret.extract_entity_function) (class in gsnn.interpret.extract_entity_function)

diff_equivalence() (in module gsnn.gsnn.proc.coarsen) (in module gsnn.proc.coarsen) diff_io_equivalence() (in module gsnn.gsnn.proc.coarsen) (in module gsnn.proc.coarsen)

E

early_stop() (gsnn.gsnn.optim.EarlyStopper.EarlyStopper method) (gsnn.optim.EarlyStopper.EarlyStopper method) EarlyStopper (class in gsnn.gsnn.optim.EarlyStopper) (class in gsnn.optim.EarlyStopper) edge2node() (in module gsnn.gsnn.models.GSNN) (in module gsnn.models.GSNN) edw() (in module gsnn.gsnn.optim.RewardScaler) (in module gsnn.optim.RewardScaler) ema() (in module gsnn.gsnn.optim.Environment) (in module gsnn.optim.Environment) Environment (class in gsnn.gsnn.optim.Environment) (class in gsnn.optim.Environment) evaluate() (gsnn.gsnn.optim.OutputEdgeInferer.OutputEdgeInferer method) (gsnn.optim.OutputEdgeInferer.OutputEdgeInferer method) explain() (gsnn.gsnn.interpret.ContrastiveGSNNExplainer.ContrastiveGSNNExplainer method) (gsnn.gsnn.interpret.ContrastiveIGExplainer method), [1] (gsnn.gsnn.interpret.ContrastiveOcclusionExplainer method), [1] (gsnn.gsnn.interpret.CounterfactualExplainer method), [1] (gsnn.gsnn.interpret.GSNNExplainer method), [1] (gsnn.gsnn.interpret.IGExplainer method), [1] (gsnn.gsnn.interpret.NoiseTunnel method), [1] (gsnn.gsnn.interpret.OcclusionExplainer method), [1] (gsnn.interpret.ContrastiveGSNNExplainer.ContrastiveGSNNExplainer method) (gsnn.interpret.ContrastiveIGExplainer method), [1] (gsnn.interpret.ContrastiveOcclusionExplainer method), [1] (gsnn.interpret.CounterfactualExplainer method), [1] (gsnn.interpret.GSNNExplainer method), [1] (gsnn.interpret.IGExplainer method), [1] (gsnn.interpret.NoiseTunnel method), [1] (gsnn.interpret.OcclusionExplainer method), [1]

extract_entity_function() (in module gsnn.gsnn.interpret.extract_entity_function) (in module gsnn.interpret.extract_entity_function)

F

fit() (gsnn.gsnn.optim.OutputEdgeInferer.OutputEdgeInferer method) (gsnn.optim.OutputEdgeInferer.OutputEdgeInferer method) forward() (gsnn.gsnn.interpret.extract_entity_function.dense_func_node method) (gsnn.gsnn.models.ChannelEMANorm.ChannelEMANorm method) (gsnn.gsnn.models.GroupBatchNorm.GroupBatchNorm method) (gsnn.gsnn.models.GroupEMANorm.GroupEMANorm method) (gsnn.gsnn.models.GroupLayerNorm.GroupLayerNorm method) (gsnn.gsnn.models.GroupRMSNorm.GroupRMSNorm method) (gsnn.gsnn.models.GSNN.GSNN method) (gsnn.gsnn.models.GSNN.NodeAttention method) (gsnn.gsnn.models.GSNN.NodeMLP method) (gsnn.gsnn.models.GSNN.ResBlock method) (gsnn.gsnn.models.GSNN.SignedMessagePassing method) (gsnn.gsnn.models.NN.NN method) (gsnn.gsnn.models.SoftmaxGroupNorm.SoftmaxGroupNorm method) (gsnn.gsnn.models.SparseLinear.Conv method) (gsnn.gsnn.models.SparseLinear.SparseLinear method) (gsnn.gsnn.optim.OutputEdgeInferer.OutputEdgeInferer method) (gsnn.interpret.extract_entity_function.dense_func_node method) (gsnn.models.ChannelEMANorm.ChannelEMANorm method) (gsnn.models.GroupBatchNorm.GroupBatchNorm method) (gsnn.models.GroupEMANorm.GroupEMANorm method) (gsnn.models.GroupLayerNorm.GroupLayerNorm method) (gsnn.models.GroupRMSNorm.GroupRMSNorm method) (gsnn.models.GSNN.GSNN method) (gsnn.models.GSNN.NodeAttention method) (gsnn.models.GSNN.NodeMLP method) (gsnn.models.GSNN.ResBlock method) (gsnn.models.GSNN.SignedMessagePassing method) (gsnn.models.NN.NN method) (gsnn.models.SoftmaxGroupNorm.SoftmaxGroupNorm method) (gsnn.models.SparseLinear.Conv method) (gsnn.models.SparseLinear.SparseLinear method) (gsnn.optim.OutputEdgeInferer.OutputEdgeInferer method)

G

get_activation() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) get_all_possible_paths_set() (in module gsnn.gsnn.proc.subset) (in module gsnn.proc.subset) get_batch_params() (gsnn.gsnn.models.GSNN.GSNN method) (gsnn.models.GSNN.GSNN method) get_conv_indices() (in module gsnn.gsnn.models.GSNN) (in module gsnn.models.GSNN) get_crit() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) get_dependency_details() (gsnn.gsnn.simulate.graph_comparison.GraphComparison method) (gsnn.simulate.graph_comparison.GraphComparison method) get_edge_probs() (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.REINFORCE.REINFORCE method) get_gradient_histogram_data() (gsnn.gsnn.optim.TrainingDiagnostics method), [1] (gsnn.optim.TrainingDiagnostics method), [1] get_node_activations() (gsnn.gsnn.models.GSNN.GSNN method) (gsnn.models.GSNN.GSNN method) get_node_attention() (gsnn.gsnn.models.GSNN.GSNN method) (gsnn.models.GSNN.GSNN method) get_optim() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) get_params() (gsnn.gsnn.optim.RewardScaler.RewardScaler method) (gsnn.optim.RewardScaler.RewardScaler method) get_regressed_r() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) get_reward_params() (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.REINFORCE.REINFORCE method) get_scheduler() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) get_sigid_attrs() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) get_summary() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.gsnn.optim.TrainingDiagnostics method), [1] (gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.TrainingDiagnostics method), [1] get_Win_indices() (in module gsnn.gsnn.models.GSNN) (in module gsnn.models.GSNN) get_Wout_indices() (in module gsnn.gsnn.models.GSNN) (in module gsnn.models.GSNN) GradDiagnostics (class in gsnn.gsnn.optim.GradDiagnostics) (class in gsnn.optim.GradDiagnostics) GraphComparison (class in gsnn.gsnn.simulate.graph_comparison) (class in gsnn.simulate.graph_comparison) GroupBatchNorm (class in gsnn.gsnn.models.GroupBatchNorm) (class in gsnn.models.GroupBatchNorm) GroupEMANorm (class in gsnn.gsnn.models.GroupEMANorm) (class in gsnn.models.GroupEMANorm) GroupLayerNorm (class in gsnn.gsnn.models.GroupLayerNorm) (class in gsnn.models.GroupLayerNorm) GroupRMSNorm (class in gsnn.gsnn.models.GroupRMSNorm) (class in gsnn.models.GroupRMSNorm) GSNN (class in gsnn.gsnn.models.GSNN) (class in gsnn.models.GSNN) gsnn.gsnn module gsnn.gsnn.external module gsnn.gsnn.external.mmd module gsnn.gsnn.interpret module gsnn.gsnn.interpret.ContrastiveGSNNExplainer module gsnn.gsnn.interpret.extract_entity_function module gsnn.gsnn.interpret.plot_explanation_graph module gsnn.gsnn.interpret.utils module gsnn.gsnn.models module gsnn.gsnn.models.ChannelEMANorm module gsnn.gsnn.models.GroupBatchNorm module gsnn.gsnn.models.GroupEMANorm module gsnn.gsnn.models.GroupLayerNorm module gsnn.gsnn.models.GroupRMSNorm module gsnn.gsnn.models.GSNN module gsnn.gsnn.models.NN module gsnn.gsnn.models.SoftmaxGroupNorm module gsnn.gsnn.models.SparseLinear module gsnn.gsnn.models.utils module gsnn.gsnn.optim module gsnn.gsnn.optim.EarlyStopper module gsnn.gsnn.optim.Environment module gsnn.gsnn.optim.GradDiagnostics module

gsnn.gsnn.optim.OutputEdgeInferer module gsnn.gsnn.optim.REINFORCE module gsnn.gsnn.optim.RewardScaler module gsnn.gsnn.optim.utils module gsnn.gsnn.ot module gsnn.gsnn.ot.mmd module gsnn.gsnn.proc module gsnn.gsnn.proc.coarsen module gsnn.gsnn.proc.construct module gsnn.gsnn.proc.subset module gsnn.gsnn.simulate module gsnn.gsnn.simulate.datasets module gsnn.gsnn.simulate.graph_comparison module gsnn.gsnn.simulate.nx2pyg module gsnn.gsnn.simulate.utils module gsnn.interpret module gsnn.interpret.ContrastiveGSNNExplainer module gsnn.interpret.extract_entity_function module gsnn.interpret.plot_explanation_graph module gsnn.interpret.utils module gsnn.models module gsnn.models.ChannelEMANorm module gsnn.models.GroupBatchNorm module gsnn.models.GroupEMANorm module gsnn.models.GroupLayerNorm module gsnn.models.GroupRMSNorm module gsnn.models.GSNN module gsnn.models.NN module gsnn.models.SoftmaxGroupNorm module gsnn.models.SparseLinear module gsnn.models.utils module gsnn.optim module gsnn.optim.EarlyStopper module gsnn.optim.Environment module gsnn.optim.GradDiagnostics module gsnn.optim.OutputEdgeInferer module gsnn.optim.REINFORCE module gsnn.optim.RewardScaler module gsnn.optim.utils module gsnn.proc module gsnn.proc.coarsen module gsnn.proc.construct module gsnn.proc.subset module gsnn.simulate module gsnn.simulate.datasets module gsnn.simulate.graph_comparison module gsnn.simulate.nx2pyg module gsnn.simulate.utils module GSNNExplainer (class in gsnn.gsnn.interpret), [1] (class in gsnn.interpret), [1] GSNNNetworkConstructor (class in gsnn.gsnn.proc.construct) (class in gsnn.proc.construct)

H

hetero2homo() (in module gsnn.gsnn.models.GSNN) (in module gsnn.models.GSNN)

I

IGExplainer (class in gsnn.gsnn.interpret), [1] (class in gsnn.interpret), [1]

io_equivalence() (in module gsnn.gsnn.proc.coarsen) (in module gsnn.proc.coarsen)

K

kaiming_normal() (in module gsnn.gsnn.models.SparseLinear) (in module gsnn.models.SparseLinear)

kaiming_uniform() (in module gsnn.gsnn.models.SparseLinear) (in module gsnn.models.SparseLinear)

L

log() (gsnn.gsnn.models.utils.TBLogger method) (gsnn.models.utils.TBLogger method)

M

message() (gsnn.gsnn.models.GSNN.SignedMessagePassing method) (gsnn.gsnn.models.SparseLinear.Conv method) (gsnn.models.GSNN.SignedMessagePassing method) (gsnn.models.SparseLinear.Conv method) mmd_distance() (in module gsnn.gsnn.external.mmd) (in module gsnn.gsnn.ot.mmd) module gsnn.gsnn gsnn.gsnn.external gsnn.gsnn.external.mmd gsnn.gsnn.interpret gsnn.gsnn.interpret.ContrastiveGSNNExplainer gsnn.gsnn.interpret.extract_entity_function gsnn.gsnn.interpret.plot_explanation_graph gsnn.gsnn.interpret.utils gsnn.gsnn.models gsnn.gsnn.models.ChannelEMANorm gsnn.gsnn.models.GroupBatchNorm gsnn.gsnn.models.GroupEMANorm gsnn.gsnn.models.GroupLayerNorm gsnn.gsnn.models.GroupRMSNorm gsnn.gsnn.models.GSNN gsnn.gsnn.models.NN gsnn.gsnn.models.SoftmaxGroupNorm gsnn.gsnn.models.SparseLinear gsnn.gsnn.models.utils gsnn.gsnn.optim gsnn.gsnn.optim.EarlyStopper gsnn.gsnn.optim.Environment gsnn.gsnn.optim.GradDiagnostics gsnn.gsnn.optim.OutputEdgeInferer gsnn.gsnn.optim.REINFORCE gsnn.gsnn.optim.RewardScaler gsnn.gsnn.optim.utils gsnn.gsnn.ot gsnn.gsnn.ot.mmd gsnn.gsnn.proc gsnn.gsnn.proc.coarsen gsnn.gsnn.proc.construct gsnn.gsnn.proc.subset gsnn.gsnn.simulate gsnn.gsnn.simulate.datasets gsnn.gsnn.simulate.graph_comparison gsnn.gsnn.simulate.nx2pyg gsnn.gsnn.simulate.utils gsnn.interpret gsnn.interpret.ContrastiveGSNNExplainer gsnn.interpret.extract_entity_function gsnn.interpret.plot_explanation_graph gsnn.interpret.utils gsnn.models gsnn.models.ChannelEMANorm gsnn.models.GroupBatchNorm gsnn.models.GroupEMANorm gsnn.models.GroupLayerNorm gsnn.models.GroupRMSNorm gsnn.models.GSNN gsnn.models.NN gsnn.models.SoftmaxGroupNorm gsnn.models.SparseLinear gsnn.models.utils gsnn.optim gsnn.optim.EarlyStopper gsnn.optim.Environment gsnn.optim.GradDiagnostics gsnn.optim.OutputEdgeInferer gsnn.optim.REINFORCE gsnn.optim.RewardScaler gsnn.optim.utils gsnn.proc gsnn.proc.coarsen gsnn.proc.construct gsnn.proc.subset gsnn.simulate gsnn.simulate.datasets gsnn.simulate.graph_comparison gsnn.simulate.nx2pyg gsnn.simulate.utils

N

neighborhood_preservation_score() (in module gsnn.gsnn.optim.utils) (in module gsnn.optim.utils) next_divisor() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) NN (class in gsnn.gsnn.models.NN) (class in gsnn.models.NN) node2edge() (in module gsnn.gsnn.models.GSNN) (in module gsnn.models.GSNN) NodeAttention (class in gsnn.gsnn.models.GSNN) (class in gsnn.models.GSNN)

NodeMLP (class in gsnn.gsnn.models.GSNN) (class in gsnn.models.GSNN) NoiseTunnel (class in gsnn.gsnn.interpret), [1] (class in gsnn.interpret), [1] normal() (in module gsnn.gsnn.models.SparseLinear) (in module gsnn.models.SparseLinear) nx2pyg() (in module gsnn.gsnn.simulate.nx2pyg) (in module gsnn.simulate.nx2pyg) nx_to_pyro_model() (in module gsnn.gsnn.simulate.utils) (in module gsnn.simulate.utils)

O

OcclusionExplainer (class in gsnn.gsnn.interpret), [1] (class in gsnn.interpret), [1]

OutputEdgeInferer (class in gsnn.gsnn.optim.OutputEdgeInferer) (class in gsnn.optim.OutputEdgeInferer)

P

plot_diagnostics() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.gsnn.optim.TrainingDiagnostics method), [1] (gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.TrainingDiagnostics method), [1] plot_edge_importance() (in module gsnn.gsnn.interpret.utils) (in module gsnn.interpret.utils) plot_explanation_graph() (in module gsnn.gsnn.interpret.plot_explanation_graph) (in module gsnn.interpret.plot_explanation_graph) plot_gradient_magnitude_by_layer() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.GradDiagnostics.GradDiagnostics method) plot_gradient_ratio_heatmap() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.GradDiagnostics.GradDiagnostics method) plot_hairball() (in module gsnn.gsnn.interpret.plot_explanation_graph) (in module gsnn.interpret.plot_explanation_graph) plot_node_importance() (in module gsnn.gsnn.interpret.utils) (in module gsnn.interpret.utils) plot_summary_statistics() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.GradDiagnostics.GradDiagnostics method)

plot_vanishing_over_time() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.GradDiagnostics.GradDiagnostics method) predict_gnn() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) predict_gsnn() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) predict_nn() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) print_progress_() (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.REINFORCE.REINFORCE method) prob_of() (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.REINFORCE.REINFORCE method) prune() (gsnn.gsnn.models.GSNN.GSNN method) (gsnn.gsnn.models.SparseLinear.SparseLinear method) (gsnn.models.GSNN.GSNN method) (gsnn.models.SparseLinear.SparseLinear method) pyg2nx() (in module gsnn.gsnn.simulate.nx2pyg) (in module gsnn.simulate.nx2pyg)

R

randomize() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) regress_out() (in module gsnn.gsnn.models.utils) (in module gsnn.models.utils) REINFORCE (class in gsnn.gsnn.optim.REINFORCE) (class in gsnn.optim.REINFORCE) ResBlock (class in gsnn.gsnn.models.GSNN) (class in gsnn.models.GSNN) reset() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.gsnn.optim.TrainingDiagnostics method), [1] (gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.TrainingDiagnostics method), [1]

RewardScaler (class in gsnn.gsnn.optim.RewardScaler) (class in gsnn.optim.RewardScaler) root_mean_squared_picp_error() (in module gsnn.gsnn.optim.utils) (in module gsnn.optim.utils) run() (gsnn.gsnn.optim.Environment.Environment method) (gsnn.optim.Environment.Environment method)

S

sample() (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.REINFORCE.REINFORCE method) scale() (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.gsnn.optim.RewardScaler.RewardScaler method) (gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.RewardScaler.RewardScaler method) set_node_mask() (gsnn.gsnn.models.GSNN.ResBlock method) (gsnn.models.GSNN.ResBlock method) SignedMessagePassing (class in gsnn.gsnn.models.GSNN) (class in gsnn.models.GSNN) simulate() (in module gsnn.gsnn.simulate), [1] (in module gsnn.simulate), [1]

simulate_10_in_25_func_10_out_cyclic() (in module gsnn.gsnn.simulate.datasets) (in module gsnn.simulate.datasets) simulate_3_in_3_out() (in module gsnn.gsnn.simulate.datasets) (in module gsnn.simulate.datasets) SoftmaxGroupNorm (class in gsnn.gsnn.models.SoftmaxGroupNorm) (class in gsnn.models.SoftmaxGroupNorm) SparseLinear (class in gsnn.gsnn.models.SparseLinear) (class in gsnn.models.SparseLinear) step() (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.REINFORCE.REINFORCE method) subset_graph() (in module gsnn.gsnn.proc.subset) (in module gsnn.proc.subset)

T

TBLogger (class in gsnn.gsnn.models.utils) (class in gsnn.models.utils) train() (gsnn.gsnn.optim.Environment.Environment method) (gsnn.optim.Environment.Environment method) TrainingDiagnostics (class in gsnn.gsnn.optim), [1] (class in gsnn.optim), [1]

tune() (gsnn.gsnn.interpret.ContrastiveGSNNExplainer.ContrastiveGSNNExplainer method) (gsnn.gsnn.interpret.GSNNExplainer method), [1] (gsnn.interpret.ContrastiveGSNNExplainer.ContrastiveGSNNExplainer method) (gsnn.interpret.GSNNExplainer method), [1]

U

uniform() (in module gsnn.gsnn.models.SparseLinear) (in module gsnn.models.SparseLinear) update() (gsnn.gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.gsnn.optim.REINFORCE.REINFORCE method) (gsnn.gsnn.optim.RewardScaler.RewardScaler method) (gsnn.gsnn.optim.TrainingDiagnostics method), [1] (gsnn.optim.GradDiagnostics.GradDiagnostics method) (gsnn.optim.REINFORCE.REINFORCE method) (gsnn.optim.RewardScaler.RewardScaler method) (gsnn.optim.TrainingDiagnostics method), [1]

V

validate() (gsnn.gsnn.optim.Environment.Environment method) (gsnn.optim.Environment.Environment method)

X

xavier_normal() (in module gsnn.gsnn.models.SparseLinear) (in module gsnn.models.SparseLinear)

xavier_uniform() (in module gsnn.gsnn.models.SparseLinear) (in module gsnn.models.SparseLinear)