Index A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | R | S | T | U | W A add_remaining_self_loops() (in module tgp.utils.ops) AggrReduce (class in tgp.reduce) apply() (SelectOutput method) apply_dense_node_mask() (in module tgp.utils.ops) as_data() (PoolingOutput method) ASAPooling (class in tgp.poolers) assign_all_nodes() (SelectOutput method) asym_norm_loss() (in module tgp.utils.losses) AsymCheegerCutPooling (class in tgp.poolers) B BaseLift (class in tgp.lift) BaseReduce (class in tgp.reduce) batched_negative_edge_sampling() (in module tgp.utils.ops) BNPool (class in tgp.poolers) build_pooled_batch() (in module tgp.utils.ops) C check_and_filter_edge_weights() (in module tgp.utils.ops) clear_cache() (DenseSRCPooling method) (SRCPooling method) clone() (SelectOutput method) cluster_connectivity_prior_loss() (in module tgp.utils.losses) cluster_index (SelectOutput property) cluster_loss() (in module tgp.utils.losses) compute_edge_score_sigmoid() (EdgeContractionSelect static method) compute_edge_score_softmax() (EdgeContractionSelect static method) compute_edge_score_tanh() (EdgeContractionSelect static method) compute_sparse_loss() (AsymCheegerCutPooling method) (BNPool method) (DiffPool method) (DMoNPooling method) (HOSCPooling method) (JustBalancePooling method) (MinCutPooling method) Connect (class in tgp.connect) connect() (SRCPooling method) ConnectionType (class in tgp.utils.typing) connectivity_to_edge_index() (in module tgp.utils.ops) connectivity_to_sparsetensor() (in module tgp.utils.ops) connectivity_to_torch_coo() (in module tgp.utils.ops) cpu() (SelectOutput method) create_one_hot_tensor() (in module tgp.utils.ops) CSBMDataset (class in tgp.datasets) cuda() (SelectOutput method) D data_transforms() (JustBalancePooling static method) (SRCPooling static method) degree_scorer() (in module tgp.select) delta_gcn_matrix() (in module tgp.utils.ops) dense_connect() (DenseConnect method) dense_to_block_diag() (in module tgp.utils.ops) DenseConnect (class in tgp.connect) DenseSRCPooling (class in tgp.src) detach() (SelectOutput method) detach_() (SelectOutput method) DiffPool (class in tgp.poolers) DMoNPooling (class in tgp.poolers) download() (CSBMDataset method) (EXPWL1Dataset method) (GraphClassificationBench method) (GsetDataset method) (MultipartiteGraphDataset method) DPSelect (class in tgp.select) E EdgeContractionPooling (class in tgp.poolers) EdgeContractionSelect (class in tgp.select) eigenpool_select() (in module tgp.select) EigenPoolConnect (class in tgp.connect) EigenPooling (class in tgp.poolers) EigenPoolLift (class in tgp.lift) EigenPoolReduce (class in tgp.reduce) EigenPoolSelect (class in tgp.select) entropy_loss() (in module tgp.utils.losses) eval_cut() (NDPSelect static method) expand_compacted_rows() (in module tgp.utils.ops) EXPWL1Dataset (class in tgp.datasets) F forward() (AggrReduce method) (ASAPooling method) (AsymCheegerCutPooling method) (BaseLift method) (BaseReduce method) (BNPool method) (Connect method) (DenseConnect method) (DiffPool method) (DMoNPooling method) (DPSelect method) (EdgeContractionPooling method) (EdgeContractionSelect method) (EigenPoolConnect method) (EigenPooling method) (EigenPoolLift method) (EigenPoolReduce method) (EigenPoolSelect method) (GlobalReduce method) (GraclusPooling method) (GraclusSelect method) (HOSCPooling method) (IdentitySelect method) (JustBalancePooling method) (KMISPooling method) (KMISSelect method) (KronConnect method) (LaPooling method) (LaPoolSelect method) (Lift method) (MaxCutPooling method) (MaxCutSelect method) (MinCutPooling method) (MLPSelect method) (NDPPooling method) (NDPSelect method) (NMFPooling method) (NMFSelect method) (NoPool method) (NormalizeAdj method) (PANPooling method) (PreCoarsening method) (Reduce method) (SAGPooling method) (Select method) (SEPPooling method) (SEPSelect method) (SortNodes method) (SparseConnect method) (TopkPooling method) (TopkSelect method) from_data_list() (PooledBatch class method) G get_aggr() (in module tgp.reduce) get_assignments() (in module tgp.utils.ops) get_example() (PooledBatch method) get_forward_signature() (SRCPooling class method) get_loss_value() (PoolingOutput method) get_mask_from_dense_s() (in module tgp.utils.ops) get_pooler() (in module tgp.poolers) get_prob_link_logit() (BNPool method) get_rec_adj() (BNPool method) get_signature() (SRCPooling class method) get_sparse_rec_loss() (BNPool method) GlobalReduce (class in tgp.reduce) GraclusPooling (class in tgp.poolers) GraclusSelect (class in tgp.select) GraphClassificationBench (class in tgp.datasets) GsetDataset (class in tgp.datasets) H has_loss (MaxCutPooling property) (PoolingOutput property) (SRCPooling property) hosc_orthogonality_loss() (in module tgp.utils.losses) HOSCPooling (class in tgp.poolers) I IdentitySelect (class in tgp.select) is_dense (SelectOutput property) (SRCPooling property) is_dense_adj() (in module tgp.utils.ops) is_expressive (SelectOutput property) is_multi_graph_batch() (in module tgp.utils.ops) is_precoarsenable (SRCPooling property) is_sparse (SelectOutput property) (SRCPooling property) is_trainable (SRCPooling property) J just_balance_loss() (in module tgp.utils.losses) JustBalancePooling (class in tgp.poolers) K kl_loss() (in module tgp.utils.losses) KMISPooling (class in tgp.poolers) KMISSelect (class in tgp.select) KronConnect (class in tgp.connect) L LaPooling (class in tgp.poolers) LaPoolSelect (class in tgp.select) Lift (class in tgp.lift) lift() (SRCPooling method) LiftType (class in tgp.utils.typing) link_pred_loss() (in module tgp.utils.losses) M mask (PoolingOutput property) maxcut_loss() (in module tgp.utils.losses) MaxCutPooling (class in tgp.poolers) MaxCutSelect (class in tgp.select) mincut_loss() (in module tgp.utils.losses) MinCutPooling (class in tgp.poolers) MLPSelect (class in tgp.select) module tgp tgp.connect tgp.data.loaders tgp.data.transforms tgp.datasets tgp.lift tgp.poolers tgp.reduce tgp.select tgp.src tgp.utils.losses tgp.utils.ops multi_level_precoarsening() (SEPPooling method) multi_level_select() (SEPSelect method) MultipartiteGraphDataset (class in tgp.datasets) N NDPPooling (class in tgp.poolers) NDPSelect (class in tgp.select) negative_edge_sampling() (in module tgp.utils.ops) NMFPooling (class in tgp.poolers) NMFSelect (class in tgp.select) node_index (SelectOutput property) NoPool (class in tgp.poolers) NormalizeAdj (class in tgp.data.transforms) num_classes (MultipartiteGraphDataset property) num_nodes (SelectOutput property) num_supernodes (SelectOutput property) O orthogonality_loss() (in module tgp.utils.losses) out_mask (SelectOutput property) P PANPooling (class in tgp.poolers) parse_graph() (GsetDataset method) PoolCollater (class in tgp.data.loaders) PoolDataLoader (class in tgp.data.loaders) PooledBatch (class in tgp.data.loaders) PoolingOutput (class in tgp.src) postprocess_adj_pool_dense() (in module tgp.utils.ops) postprocess_adj_pool_sparse() (in module tgp.utils.ops) PreCoarsening (class in tgp.data.transforms) precoarsening() (EigenPooling method) (NMFPooling method) (NoPool method) preprocessing() (DenseSRCPooling method) (SRCPooling method) process() (CSBMDataset method) (EXPWL1Dataset method) (GraphClassificationBench method) (GsetDataset method) (MultipartiteGraphDataset method) (PyGSPDataset method) processed_file_names (CSBMDataset property) (EXPWL1Dataset property) (GraphClassificationBench property) (GsetDataset property) (MultipartiteGraphDataset property) (PyGSPDataset property) pseudo_inverse() (in module tgp.utils.ops) PyGSPDataset (class in tgp.datasets) R rank3_diag() (in module tgp.utils.ops) rank3_trace() (in module tgp.utils.ops) raw_file_names (CSBMDataset property) (EXPWL1Dataset property) (GraphClassificationBench property) (GsetDataset property) (MultipartiteGraphDataset property) Reduce (class in tgp.reduce) reduce() (SRCPooling method) reduce_batch() (Reduce static method) ReduceType (class in tgp.utils.typing) requires_grad_() (SelectOutput method) S SAGPooling (class in tgp.poolers) Select (class in tgp.select) select() (SRCPooling method) SelectOutput (class in tgp.select) SEPPooling (class in tgp.poolers) SEPSelect (class in tgp.select) set_s_inv() (SelectOutput method) sign_partition() (NDPSelect static method) SinvType (class in tgp.utils.typing) SortNodes (class in tgp.data.transforms) sparse_bce_reconstruction_loss() (in module tgp.utils.losses) sparse_connect() (in module tgp.connect) sparse_ho_mincut_loss() (in module tgp.utils.losses) sparse_link_pred_loss() (in module tgp.utils.losses) sparse_mincut_loss() (in module tgp.utils.losses) sparse_spectral_loss() (in module tgp.utils.losses) sparse_totvar_loss() (in module tgp.utils.losses) SparseConnect (class in tgp.connect) spectral_loss() (in module tgp.utils.losses) SRCPooling (class in tgp.src) T tgp module tgp.connect module tgp.data.loaders module tgp.data.transforms module tgp.datasets module tgp.lift module tgp.poolers module tgp.reduce module tgp.select module tgp.src module tgp.utils.losses module tgp.utils.ops module to() (SelectOutput method) TopkPooling (class in tgp.poolers) TopkSelect (class in tgp.select) totvar_loss() (in module tgp.utils.losses) U unbatched_asym_norm_loss() (in module tgp.utils.losses) unbatched_cluster_loss() (in module tgp.utils.losses) unbatched_entropy_loss() (in module tgp.utils.losses) unbatched_hosc_orthogonality_loss() (in module tgp.utils.losses) unbatched_just_balance_loss() (in module tgp.utils.losses) unbatched_orthogonality_loss() (in module tgp.utils.losses) W weight (SelectOutput property) weighted_bce_reconstruction_loss() (in module tgp.utils.losses) weighted_degree() (in module tgp.utils.ops)
