Index

A

AE (class in egc.model.node_embedding.ae), [1] AE_decoder (class in egc.model.node_embedding.ae), [1] AE_encoder (class in egc.model.node_embedding.ae), [1] AE_LoadDataset (class in egc.utils.load_data) AGC (class in egc.model.graph_clustering.disjoint.agc_kmeans), [1] AGCEmbed (class in egc.model.node_embedding.agc), [1] AGCN (class in egc.model.graph_clustering.disjoint.agcn), [1] AGE (class in egc.model.node_embedding.age), [1] age_cluster (class in egc.model.graph_clustering.disjoint.age_cluster), [1]

agm() (in module egc.utils.sampling), [1] agm_pretrain() (in module egc.module.pretrain.communitygan.agm_pretrain) allclose() (in module egc.utils.load_data) apply_non_linearity() (in module egc.utils.sublime_utils) asymmetric_normalize_adj() (in module egc.utils.normalization), [1] ATT_learner (class in egc.module.layers.graph_learner) Attentive (class in egc.module.layers.graph_learner) aug_none (class in egc.utils.graph_augmentation.augs) avg_neighbor() (in module egc.module.layers.gmi) avg_readout() (in module egc.model.node_embedding.dgi)

B

bar_progress() (in module egc.utils.load_data) Base (class in egc.model.graph_clustering.base) BATCH_GCN (class in egc.module.layers.batch_gcn), [1] batch_generator() (in module egc.utils.ComE_utils) batched_semi_loss() (egc.module.layers.grace_secomm.SECommGraceModel method)

bce_loss() (egc.model.node_embedding.sgc.SGC static method), [1] (in module egc.model.node_embedding.gae) best_mapping() (in module egc.utils.evaluation), [1] build_deepwalk_corpus_iter() (in module egc.utils.ComE_utils) build_graph() (in module egc.utils.construct_DGLgraph), [1] build_vocab_() (egc.model.graph_clustering.disjoint.ComE.ComE method), [1]

C

cal_similarity_graph() (in module egc.utils.sublime_utils) calc_loss() (egc.model.node_embedding.gmi.GMIEmbed method), [1] (egc.module.layers.gcl_sublime.GCL_SUBLIME static method) calculate_cost() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] choice() (in module egc.utils.sampling), [1] chunkize_serial() (in module egc.utils.ComE_utils) clustering() (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] ClusterLoss (class in egc.module.loss.contrastive_loss), [1] ClusterNet (class in egc.model.graph_clustering.disjoint.clusternet), [1] combine_files_iter() (in module egc.utils.ComE_utils) ComE (class in egc.model.graph_clustering.disjoint.ComE), [1] Community2Vec (class in egc.module.pretrain.ComE.community_embeddings_ComE) CommunityGAN (class in egc.model.graph_clustering.overlapping.communityGAN), [1]

CommunityGANSampling (class in egc.utils.sampling), [1] ComposeAug (class in egc.utils.graph_augmentation.augs) compute_ppr() (in module egc.utils.graph_diffusion), [1] construct_DGLgraph_for_graph() (in module egc.utils.construct_DGLgraph), [1] construct_DGLgraph_for_non_graph() (in module egc.utils.construct_DGLgraph), [1] construct_DGLgraph_for_non_graph_by_heat() (in module egc.utils.construct_DGLgraph), [1] Context2Vec (class in egc.module.pretrain.ComE.context_embeddings_ComE) ContrastiveClustering (class in egc.model.graph_clustering.disjoint.cc), [1] count_label() (in module egc.utils.graph_statistics), [1] count_lines() (in module egc.utils.ComE_utils) count_textfiles() (in module egc.utils.ComE_utils) count_words() (in module egc.utils.ComE_utils) csv2file() (in module egc.utils.common), [1]

D

DAEGC (class in egc.model.graph_clustering.disjoint.daegc), [1] DANMF (class in egc.model.graph_clustering.disjoint.danmf), [1] Decode() (egc.model.node_embedding.gae.DGL_GAE method), [1] Decoder (class in egc.model.node_embedding.vgae), [1] DFCN (class in egc.model.graph_clustering.disjoint.dfcn), [1] DGC (class in egc.model.graph_clustering.disjoint.dgc), [1] (class in egc.model.graph_clustering.disjoint.dgc_mlp), [1] (class in egc.model.graph_clustering.disjoint.dgc_mlp_gsl), [1] DGIEmbed (class in egc.model.node_embedding.dgi), [1] DGIKmeans (class in egc.model.graph_clustering.disjoint.dgi_kmeans), [1] DGL_GAE (class in egc.model.node_embedding.gae), [1]

DGL_GAEKmeans (class in egc.model.graph_clustering.disjoint.gae_kmeans), [1] dgl_graph_to_torch_sparse() (in module egc.utils.common), [1] DGL_VGAE (class in egc.model.node_embedding.vgae), [1] DGL_VGAEKmeans (class in egc.model.graph_clustering.disjoint.vgae_kmeans), [1] DiscComGAN (class in egc.module.layers.disc_communitygan) DiscDGI (class in egc.module.layers.disc_dgi) DiscGMI (class in egc.module.layers.disc_gmi) DiscMVGRL (class in egc.module.layers.disc_mvgrl) dot_product_decode() (egc.module.layers.gat_daegc.GAT method) drop_feature() (in module egc.utils.SEComm_utils) dropout_adj0() (in module egc.utils.SEComm_utils) dump_var() (in module egc.utils.common), [1]

E

egc module egc.model module egc.model.graph_clustering module egc.model.graph_clustering.base module egc.model.graph_clustering.disjoint module egc.model.graph_clustering.disjoint.agc_kmeans module, [1] egc.model.graph_clustering.disjoint.agcn module, [1] egc.model.graph_clustering.disjoint.age_cluster module, [1] egc.model.graph_clustering.disjoint.cc module, [1] egc.model.graph_clustering.disjoint.clusternet module, [1] egc.model.graph_clustering.disjoint.ComE module, [1] egc.model.graph_clustering.disjoint.daegc module, [1] egc.model.graph_clustering.disjoint.danmf module, [1] egc.model.graph_clustering.disjoint.dfcn module, [1] egc.model.graph_clustering.disjoint.dgc module, [1] egc.model.graph_clustering.disjoint.dgc_mlp module, [1] egc.model.graph_clustering.disjoint.dgc_mlp_gsl module, [1] egc.model.graph_clustering.disjoint.dgi_kmeans module, [1] egc.model.graph_clustering.disjoint.gae_kmeans module, [1] egc.model.graph_clustering.disjoint.gala module, [1] egc.model.graph_clustering.disjoint.gdcl module, [1] egc.model.graph_clustering.disjoint.gmi_kmeans module, [1] egc.model.graph_clustering.disjoint.idec module, [1] egc.model.graph_clustering.disjoint.mnmf module, [1] egc.model.graph_clustering.disjoint.pca_kmeans module, [1] egc.model.graph_clustering.disjoint.sdcn module, [1] egc.model.graph_clustering.disjoint.SEComm module, [1] egc.model.graph_clustering.disjoint.SENet_kmeans module, [1] egc.model.graph_clustering.disjoint.sgc_kmeans module, [1] egc.model.graph_clustering.disjoint.vgae_kmeans module, [1] egc.model.graph_clustering.disjoint.vgaecd module, [1] egc.model.graph_clustering.overlapping module egc.model.graph_clustering.overlapping.communityGAN module, [1] egc.model.node_embedding module egc.model.node_embedding.ae module, [1] egc.model.node_embedding.agc module, [1] egc.model.node_embedding.age module, [1] egc.model.node_embedding.dgi module, [1] egc.model.node_embedding.gae module, [1] egc.model.node_embedding.gmi module, [1] egc.model.node_embedding.igae module, [1] egc.model.node_embedding.mvgrl module, [1] egc.model.node_embedding.saif module, [1] egc.model.node_embedding.SENet module, [1] egc.model.node_embedding.sgc module, [1] egc.model.node_embedding.structure_learning module egc.model.node_embedding.structure_learning.sublime module egc.model.node_embedding.vgae module, [1] egc.module module egc.module.layers module egc.module.layers.batch_gcn module, [1] egc.module.layers.cluster_secomm module egc.module.layers.disc_communitygan module egc.module.layers.disc_dgi module egc.module.layers.disc_gmi module

egc.module.layers.disc_mvgrl module egc.module.layers.gat_daegc module egc.module.layers.gcl_sublime module egc.module.layers.gcn module, [1] egc.module.layers.gcn_sublime module egc.module.layers.gene_communitygan module egc.module.layers.gmi module egc.module.layers.grace_secomm module egc.module.layers.graph_learner module egc.module.layers.inner_product_de module, [1] egc.module.layers.multilayer_dnn module, [1] egc.module.layers.multilayer_gnn module, [1] egc.module.layers.selfexpr_secomm module egc.module.loss module egc.module.loss.contrastive_loss module, [1] egc.module.pretrain module egc.module.pretrain.ComE module egc.module.pretrain.ComE.community_embeddings_ComE module egc.module.pretrain.ComE.context_embeddings_ComE module egc.module.pretrain.ComE.node_embeddings_ComE module egc.module.pretrain.ComE.SDG_utils module egc.module.pretrain.ComE.SDG_utils.cython_utils module egc.module.pretrain.ComE.SDG_utils.training_sdg_inner module egc.module.pretrain.communitygan module egc.module.pretrain.communitygan.agm_pretrain module egc.module.pretrain.communitygan.kmeans_pretrain module egc.utils module egc.utils.argparser module, [1] egc.utils.clustering module, [1] egc.utils.ComE_utils module egc.utils.common module, [1] egc.utils.construct_DGLgraph module, [1] egc.utils.danmf_utils module egc.utils.data_loader module egc.utils.data_loader.naive_data_loader module egc.utils.evaluation module, [1] egc.utils.graph_augmentation module egc.utils.graph_augmentation.augs module egc.utils.graph_augmentation.transforms module egc.utils.graph_augmentation.transforms.feature_dropout module egc.utils.graph_augmentation.transforms.node_shuffle module egc.utils.graph_augmentation.transforms.random_mask module egc.utils.graph_diffusion module, [1] egc.utils.graph_statistics module, [1] egc.utils.initialization module, [1] egc.utils.load_data module, [1] egc.utils.metrics module, [1] egc.utils.model_management module, [1] egc.utils.normalization module, [1] egc.utils.sampling module, [1] egc.utils.SEComm_utils module egc.utils.sublime_utils module eliminate_zeros() (in module egc.model.node_embedding.sgc) embed() (egc.model.graph_clustering.disjoint.gdcl.GDCL method), [1] Encode() (egc.model.node_embedding.gae.DGL_GAE method), [1] encode() (egc.model.node_embedding.vgae.DGL_VGAE method), [1] Encoder (class in egc.model.node_embedding.vgae), [1] enhance_sim_matrix() (in module egc.utils.SEComm_utils) evaluation() (in module egc.utils.evaluation), [1]

F

FeatureDropout (class in egc.utils.graph_augmentation.transforms.feature_dropout) FGP_learner (class in egc.module.layers.graph_learner) fit() (egc.model.graph_clustering.base.Base method) (egc.model.graph_clustering.disjoint.agc_kmeans.AGC method), [1] (egc.model.graph_clustering.disjoint.agcn.AGCN method), [1] (egc.model.graph_clustering.disjoint.age_cluster.age_cluster method), [1] (egc.model.graph_clustering.disjoint.cc.ContrastiveClustering method), [1] (egc.model.graph_clustering.disjoint.clusternet.ClusterNet method), [1] (egc.model.graph_clustering.disjoint.ComE.ComE method), [1] (egc.model.graph_clustering.disjoint.daegc.DAEGC method), [1] (egc.model.graph_clustering.disjoint.dfcn.DFCN method), [1] (egc.model.graph_clustering.disjoint.dgc.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] (egc.model.graph_clustering.disjoint.dgi_kmeans.DGIKmeans method), [1] (egc.model.graph_clustering.disjoint.gae_kmeans.DGL_GAEKmeans method), [1] (egc.model.graph_clustering.disjoint.gala.GALA method), [1] (egc.model.graph_clustering.disjoint.gdcl.GDCL method), [1] (egc.model.graph_clustering.disjoint.gmi_kmeans.GMIKmeans method), [1] (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] (egc.model.graph_clustering.disjoint.mnmf.MNMF method), [1] (egc.model.graph_clustering.disjoint.sdcn.SDCN method), [1] (egc.model.graph_clustering.disjoint.SEComm.SEComm method), [1] (egc.model.graph_clustering.disjoint.SENet_kmeans.SENetKmeans method), [1] (egc.model.graph_clustering.disjoint.sgc_kmeans.SGCKmeans method), [1] (egc.model.graph_clustering.disjoint.vgae_kmeans.DGL_VGAEKmeans method), [1] (egc.model.graph_clustering.disjoint.vgae_kmeans.VGAEKmeans method), [1] (egc.model.graph_clustering.disjoint.vgaecd.VGAECD method), [1] (egc.model.graph_clustering.overlapping.communityGAN.CommunityGAN method), [1] (egc.model.node_embedding.ae.AE method), [1] (egc.model.node_embedding.agc.AGCEmbed method), [1] (egc.model.node_embedding.age.AGE method), [1] (egc.model.node_embedding.dgi.DGIEmbed method), [1] (egc.model.node_embedding.gae.DGL_GAE method), [1] (egc.model.node_embedding.gmi.GMIEmbed method), [1] (egc.model.node_embedding.igae.IGAE method), [1] (egc.model.node_embedding.mvgrl.MVGRL method), [1] (egc.model.node_embedding.saif.SAIF method), [1] (egc.model.node_embedding.SENet.SENetEmbed method), [1] (egc.model.node_embedding.sgc.SGC method), [1] (egc.model.node_embedding.structure_learning.sublime.SUBLIME method) (egc.model.node_embedding.vgae.DGL_VGAE method), [1] (egc.model.node_embedding.vgae.VGAE method), [1] (egc.module.layers.disc_communitygan.DiscComGAN method) (egc.module.layers.gene_communitygan.GeneComGAN method) (egc.module.pretrain.ComE.community_embeddings_ComE.Community2Vec method) forward() (egc.model.graph_clustering.disjoint.agcn.AGCN method), [1] (egc.model.graph_clustering.disjoint.agcn.MLP_1 method) (egc.model.graph_clustering.disjoint.agcn.MLP_2 method) (egc.model.graph_clustering.disjoint.agcn.MLP_3 method) (egc.model.graph_clustering.disjoint.agcn.MLP_L method) (egc.model.graph_clustering.disjoint.cc.ContrastiveClustering method), [1] (egc.model.graph_clustering.disjoint.clusternet.ClusterNet method), [1] (egc.model.graph_clustering.disjoint.daegc.DAEGC method), [1] (egc.model.graph_clustering.disjoint.dfcn.DFCN method), [1] (egc.model.graph_clustering.disjoint.dgc.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] (egc.model.graph_clustering.disjoint.gala.GALA method), [1] (egc.model.graph_clustering.disjoint.gdcl.GDCL method), [1] (egc.model.graph_clustering.disjoint.gdcl.Readout static method) (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] (egc.model.graph_clustering.disjoint.sdcn.SDCN method), [1] (egc.model.graph_clustering.disjoint.SEComm.SEComm method), [1] (egc.model.graph_clustering.disjoint.vgaecd.VGAECD method), [1] (egc.model.graph_clustering.overlapping.communityGAN.CommunityGAN method), [1] (egc.model.node_embedding.ae.AE method), [1] (egc.model.node_embedding.ae.AE_decoder method), [1] (egc.model.node_embedding.ae.AE_encoder method), [1] (egc.model.node_embedding.agc.AGCEmbed method), [1] (egc.model.node_embedding.age.AGE method), [1] (egc.model.node_embedding.age.LinTrans method), [1] (egc.model.node_embedding.age.SampleDecoder method), [1] (egc.model.node_embedding.dgi.DGIEmbed method), [1] (egc.model.node_embedding.gae.DGL_GAE method), [1] (egc.model.node_embedding.gmi.GMIEmbed method), [1] (egc.model.node_embedding.igae.IGAE method), [1] (egc.model.node_embedding.igae.IGAE_decoder method), [1] (egc.model.node_embedding.igae.IGAE_encoder method), [1] (egc.model.node_embedding.mvgrl.MVGRL method), [1] (egc.model.node_embedding.mvgrl.Readout static method) (egc.model.node_embedding.saif.SAIF method), [1] (egc.model.node_embedding.SENet.SENetEmbed method), [1] (egc.model.node_embedding.sgc.LinTrans method) (egc.model.node_embedding.sgc.SGC method), [1] (egc.model.node_embedding.structure_learning.sublime.SUBLIME method) (egc.model.node_embedding.vgae.Decoder method), [1] (egc.model.node_embedding.vgae.DGL_VGAE method), [1] (egc.model.node_embedding.vgae.Encoder method), [1] (egc.model.node_embedding.vgae.VGAE method), [1] (egc.module.layers.batch_gcn.BATCH_GCN method), [1] (egc.module.layers.cluster_secomm.SECommClusterModel method) (egc.module.layers.disc_communitygan.DiscComGAN method) (egc.module.layers.disc_dgi.DiscDGI method) (egc.module.layers.disc_gmi.DiscGMI method) (egc.module.layers.disc_mvgrl.DiscMVGRL method) (egc.module.layers.gat_daegc.GAT method) (egc.module.layers.gat_daegc.GATLayer method) (egc.module.layers.gcl_sublime.GCL_SUBLIME method) (egc.module.layers.gcl_sublime.GraphEncoder method) (egc.module.layers.gcl_sublime.SparseDropout method) (egc.module.layers.gcn.GCN method), [1] (egc.module.layers.gcn_sublime.GCNConv_dense method) (egc.module.layers.gcn_sublime.GCNConv_dgl method) (egc.module.layers.gene_communitygan.GeneComGAN method) (egc.module.layers.gmi.GMI method) (egc.module.layers.grace_secomm.SECommEncoder method) (egc.module.layers.grace_secomm.SECommGraceModel method) (egc.module.layers.graph_learner.ATT_learner method) (egc.module.layers.graph_learner.Attentive method) (egc.module.layers.graph_learner.FGP_learner method) (egc.module.layers.graph_learner.GNN_learner method) (egc.module.layers.graph_learner.MLP_learner method) (egc.module.layers.inner_product_de.InnerProductDecoder method), [1] (egc.module.layers.multilayer_dnn.MultiLayerDNN method), [1] (egc.module.layers.multilayer_gnn.MultiLayerGNN method), [1] (egc.module.layers.selfexpr_secomm.SECommSelfExpr method) (egc.module.loss.contrastive_loss.ClusterLoss method), [1] (egc.module.loss.contrastive_loss.InstanceLoss method), [1]

forward_cluster() (egc.model.graph_clustering.disjoint.cc.ContrastiveClustering method), [1] forward_instance() (egc.model.graph_clustering.disjoint.cc.ContrastiveClustering method), [1]

G

g_s() (egc.utils.sampling.CommunityGANSampling method), [1] g_v() (egc.utils.sampling.CommunityGANSampling method), [1] GALA (class in egc.model.graph_clustering.disjoint.gala), [1] GAT (class in egc.module.layers.gat_daegc) GATLayer (class in egc.module.layers.gat_daegc) GCL_SUBLIME (class in egc.module.layers.gcl_sublime) GCN (class in egc.module.layers.gcn), [1] GCNConv_dense (class in egc.module.layers.gcn_sublime) GCNConv_dgl (class in egc.module.layers.gcn_sublime) GDCL (class in egc.model.graph_clustering.disjoint.gdcl), [1] gen_membership() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] GeneComGAN (class in egc.module.layers.gene_communitygan) get_adj_norm() (egc.model.node_embedding.gmi.GMIEmbed method), [1] get_aug_graphs() (egc.utils.data_loader.naive_data_loader.NaiveDataLoader method) get_augments() (in module egc.utils.graph_augmentation.augs) get_checkpoint_path() (in module egc.utils.model_management) get_cluster_centers() (egc.model.graph_clustering.base.Base method) (egc.model.graph_clustering.disjoint.mnmf.MNMF method), [1] get_decoder_operator() (egc.model.graph_clustering.disjoint.gala.GALA method), [1] get_default_args() (in module egc.utils.argparser), [1] get_disjoint_memberships() (egc.model.graph_clustering.overlapping.communityGAN.CommunityGAN method), [1] get_distance() (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] get_embedding() (egc.model.graph_clustering.base.Base method) (egc.model.graph_clustering.disjoint.agc_kmeans.AGC method), [1] (egc.model.graph_clustering.disjoint.agcn.AGCN method), [1] (egc.model.graph_clustering.disjoint.age_cluster.age_cluster method), [1] (egc.model.graph_clustering.disjoint.cc.ContrastiveClustering method), [1] (egc.model.graph_clustering.disjoint.clusternet.ClusterNet method), [1] (egc.model.graph_clustering.disjoint.daegc.DAEGC method), [1] (egc.model.graph_clustering.disjoint.dfcn.DFCN method), [1] (egc.model.graph_clustering.disjoint.dgc.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] (egc.model.graph_clustering.disjoint.dgi_kmeans.DGIKmeans method), [1] (egc.model.graph_clustering.disjoint.gae_kmeans.DGL_GAEKmeans method), [1] (egc.model.graph_clustering.disjoint.gdcl.GDCL method), [1] (egc.model.graph_clustering.disjoint.gmi_kmeans.GMIKmeans method), [1] (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] (egc.model.graph_clustering.disjoint.mnmf.MNMF method), [1] (egc.model.graph_clustering.disjoint.sdcn.SDCN method), [1] (egc.model.graph_clustering.disjoint.SEComm.SEComm method), [1] (egc.model.graph_clustering.disjoint.SENet_kmeans.SENetKmeans method), [1] (egc.model.graph_clustering.disjoint.sgc_kmeans.SGCKmeans method), [1] (egc.model.graph_clustering.disjoint.vgae_kmeans.DGL_VGAEKmeans method), [1] (egc.model.graph_clustering.disjoint.vgae_kmeans.VGAEKmeans method), [1] (egc.model.graph_clustering.disjoint.vgaecd.VGAECD method), [1] (egc.model.graph_clustering.overlapping.communityGAN.CommunityGAN method), [1] (egc.model.node_embedding.agc.AGCEmbed method), [1] (egc.model.node_embedding.age.AGE method), [1] (egc.model.node_embedding.dgi.DGIEmbed method), [1] (egc.model.node_embedding.gae.DGL_GAE method), [1] (egc.model.node_embedding.gmi.GMIEmbed method), [1] (egc.model.node_embedding.mvgrl.MVGRL method), [1] (egc.model.node_embedding.saif.SAIF method), [1] (egc.model.node_embedding.SENet.SENetEmbed method), [1] (egc.model.node_embedding.sgc.SGC method), [1] (egc.model.node_embedding.structure_learning.sublime.SUBLIME method) (egc.model.node_embedding.vgae.DGL_VGAE method), [1] (egc.model.node_embedding.vgae.VGAE method), [1] (egc.module.layers.disc_communitygan.DiscComGAN method) (egc.module.layers.gene_communitygan.GeneComGAN method) (egc.module.layers.gmi.GMI method)

get_encoder_operator() (egc.model.graph_clustering.disjoint.gala.GALA method), [1] get_feat_mask() (in module egc.utils.sublime_utils) get_features_norm() (egc.model.node_embedding.gmi.GMIEmbed method), [1] get_imporved_feature() (egc.model.node_embedding.SENet.SENetEmbed method), [1] get_improved_graph() (in module egc.model.node_embedding.SENet) get_intra_class_edges() (in module egc.utils.graph_statistics), [1] get_intra_class_mean_distance() (in module egc.utils.graph_statistics), [1] get_M() (in module egc.model.graph_clustering.disjoint.daegc) get_memberships() (egc.model.graph_clustering.base.Base method) (egc.model.graph_clustering.disjoint.agc_kmeans.AGC method), [1] (egc.model.graph_clustering.disjoint.agcn.AGCN method), [1] (egc.model.graph_clustering.disjoint.age_cluster.age_cluster method), [1] (egc.model.graph_clustering.disjoint.cc.ContrastiveClustering method), [1] (egc.model.graph_clustering.disjoint.clusternet.ClusterNet method), [1] (egc.model.graph_clustering.disjoint.ComE.ComE method), [1] (egc.model.graph_clustering.disjoint.daegc.DAEGC method), [1] (egc.model.graph_clustering.disjoint.dfcn.DFCN method), [1] (egc.model.graph_clustering.disjoint.dgc.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] (egc.model.graph_clustering.disjoint.dgi_kmeans.DGIKmeans method), [1] (egc.model.graph_clustering.disjoint.gae_kmeans.DGL_GAEKmeans method), [1] (egc.model.graph_clustering.disjoint.gala.GALA method), [1] (egc.model.graph_clustering.disjoint.gdcl.GDCL method), [1] (egc.model.graph_clustering.disjoint.gmi_kmeans.GMIKmeans method), [1] (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] (egc.model.graph_clustering.disjoint.mnmf.MNMF method), [1] (egc.model.graph_clustering.disjoint.sdcn.SDCN method), [1] (egc.model.graph_clustering.disjoint.SEComm.SEComm method), [1] (egc.model.graph_clustering.disjoint.SENet_kmeans.SENetKmeans method), [1] (egc.model.graph_clustering.disjoint.sgc_kmeans.SGCKmeans method), [1] (egc.model.graph_clustering.disjoint.vgae_kmeans.DGL_VGAEKmeans method), [1] (egc.model.graph_clustering.disjoint.vgae_kmeans.VGAEKmeans method), [1] (egc.model.graph_clustering.disjoint.vgaecd.VGAECD method), [1] (egc.model.graph_clustering.overlapping.communityGAN.CommunityGAN method), [1] (egc.model.node_embedding.mvgrl.MVGRL method), [1] (egc.model.node_embedding.structure_learning.sublime.SUBLIME method) (egc.model.node_embedding.vgae.DGL_VGAE method), [1] get_modularity_matrix() (in module egc.utils.metrics), [1] get_modularity_value() (in module egc.utils.metrics), [1] get_motifs_with_one_more_node() (in module egc.utils.graph_statistics), [1] get_neighbor_set() (in module egc.utils.graph_statistics), [1] get_normalized_kernel_martix() (egc.model.node_embedding.SENet.SENetEmbed method), [1] get_overlapping_memberships() (egc.model.graph_clustering.overlapping.communityGAN.CommunityGAN method), [1] get_Q() (egc.model.graph_clustering.disjoint.daegc.DAEGC method), [1] get_repeat_shuffle_nodes_list() (in module egc.utils.sampling), [1] get_reward() (egc.module.layers.disc_communitygan.DiscComGAN method) get_soft_assignment_matrix() (in module egc.utils.metrics), [1] get_t_distribution() (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] get_undireced_motifs() (in module egc.utils.graph_statistics), [1] getFile() (in module egc.utils.ComE_utils) GMI (class in egc.module.layers.gmi) GMIEmbed (class in egc.model.node_embedding.gmi), [1] GMIKmeans (class in egc.model.graph_clustering.disjoint.gmi_kmeans), [1] GNN_learner (class in egc.module.layers.graph_learner) GraphEncoder (class in egc.module.layers.gcl_sublime) grouper() (in module egc.utils.ComE_utils)

I

IDEC (class in egc.model.graph_clustering.disjoint.idec), [1] IGAE (class in egc.model.node_embedding.igae), [1] IGAE_decoder (class in egc.model.node_embedding.igae), [1] IGAE_encoder (class in egc.model.node_embedding.igae), [1] init() (in module egc.module.pretrain.ComE.SDG_utils.training_sdg_inner) init_cluster_layer_parameter() (egc.model.graph_clustering.disjoint.agcn.AGCN method), [1] (egc.model.graph_clustering.disjoint.sdcn.SDCN method), [1] init_para() (egc.module.layers.gcn_sublime.GCNConv_dense method) init_weights() (egc.model.graph_clustering.disjoint.gala.GALA method), [1] (egc.model.node_embedding.SENet.SENetEmbed method), [1] (in module egc.utils.initialization), [1]

initComeEnv() (in module egc.utils.ComE_utils) InnerProductDecoder (class in egc.module.layers.inner_product_de), [1] InstanceLoss (class in egc.module.loss.contrastive_loss), [1] internal_forward() (egc.module.layers.graph_learner.ATT_learner method) (egc.module.layers.graph_learner.GNN_learner method) (egc.module.layers.graph_learner.MLP_learner method) is_bidirected() (in module egc.utils.load_data)

J

judgeExist() (in module egc.utils.ComE_utils)

K

kmeans_pretrain() (in module egc.module.pretrain.communitygan.kmeans_pretrain)

knn_fast() (in module egc.utils.sublime_utils)

L

label_classification() (in module egc.utils.SEComm_utils) learn_structure() (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] LinTrans (class in egc.model.node_embedding.age), [1] (class in egc.model.node_embedding.sgc) load_ACM() (in module egc.utils.load_data) load_best_model() (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] load_BlogCatalog() (in module egc.utils.load_data) load_data() (in module egc.utils.load_data), [1] load_DBLP() (in module egc.utils.load_data) load_dgl_data() (in module egc.utils.load_data) load_Flickr() (in module egc.utils.load_data) load_mat_data2dgl() (in module egc.utils.load_data)

load_model() (in module egc.utils.model_management), [1] load_ogb_data() (in module egc.utils.load_data) load_or_dump() (in module egc.utils.common), [1] load_var() (in module egc.utils.common), [1] loss() (egc.model.graph_clustering.disjoint.dgc.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp.DGC method), [1] (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] (egc.module.layers.grace_secomm.SECommGraceModel method) loss_function() (in module egc.model.node_embedding.age), [1] (in module egc.model.node_embedding.vgae), [1] loss_o1() (in module egc.module.pretrain.ComE.SDG_utils.training_sdg_inner) loss_o2() (in module egc.module.pretrain.ComE.SDG_utils.training_sdg_inner) loss_printer() (in module egc.utils.danmf_utils)

M

make_parent_dirs() (in module egc.utils.common), [1] make_table() (egc.model.graph_clustering.disjoint.ComE.ComE method), [1] mask_correlated_samples() (in module egc.module.loss.contrastive_loss) MF() (in module egc.utils.common) mi_loss_jsd() (in module egc.model.node_embedding.gmi) MLP_1 (class in egc.model.graph_clustering.disjoint.agcn) MLP_2 (class in egc.model.graph_clustering.disjoint.agcn) MLP_3 (class in egc.model.graph_clustering.disjoint.agcn) MLP_L (class in egc.model.graph_clustering.disjoint.agcn) MLP_learner (class in egc.module.layers.graph_learner) MNMF (class in egc.model.graph_clustering.disjoint.mnmf), [1] models (in module egc.utils.argparser), [1] module egc egc.model egc.model.graph_clustering egc.model.graph_clustering.base egc.model.graph_clustering.disjoint egc.model.graph_clustering.disjoint.agc_kmeans, [1] egc.model.graph_clustering.disjoint.agcn, [1] egc.model.graph_clustering.disjoint.age_cluster, [1] egc.model.graph_clustering.disjoint.cc, [1] egc.model.graph_clustering.disjoint.clusternet, [1] egc.model.graph_clustering.disjoint.ComE, [1] egc.model.graph_clustering.disjoint.daegc, [1] egc.model.graph_clustering.disjoint.danmf, [1] egc.model.graph_clustering.disjoint.dfcn, [1] egc.model.graph_clustering.disjoint.dgc, [1] egc.model.graph_clustering.disjoint.dgc_mlp, [1] egc.model.graph_clustering.disjoint.dgc_mlp_gsl, [1] egc.model.graph_clustering.disjoint.dgi_kmeans, [1] egc.model.graph_clustering.disjoint.gae_kmeans, [1] egc.model.graph_clustering.disjoint.gala, [1] egc.model.graph_clustering.disjoint.gdcl, [1] egc.model.graph_clustering.disjoint.gmi_kmeans, [1] egc.model.graph_clustering.disjoint.idec, [1] egc.model.graph_clustering.disjoint.mnmf, [1] egc.model.graph_clustering.disjoint.pca_kmeans, [1] egc.model.graph_clustering.disjoint.sdcn, [1] egc.model.graph_clustering.disjoint.SEComm, [1] egc.model.graph_clustering.disjoint.SENet_kmeans, [1] egc.model.graph_clustering.disjoint.sgc_kmeans, [1] egc.model.graph_clustering.disjoint.vgae_kmeans, [1] egc.model.graph_clustering.disjoint.vgaecd, [1] egc.model.graph_clustering.overlapping egc.model.graph_clustering.overlapping.communityGAN, [1] egc.model.node_embedding egc.model.node_embedding.ae, [1] egc.model.node_embedding.agc, [1] egc.model.node_embedding.age, [1] egc.model.node_embedding.dgi, [1] egc.model.node_embedding.gae, [1] egc.model.node_embedding.gmi, [1] egc.model.node_embedding.igae, [1] egc.model.node_embedding.mvgrl, [1] egc.model.node_embedding.saif, [1] egc.model.node_embedding.SENet, [1] egc.model.node_embedding.sgc, [1] egc.model.node_embedding.structure_learning egc.model.node_embedding.structure_learning.sublime egc.model.node_embedding.vgae, [1] egc.module egc.module.layers egc.module.layers.batch_gcn, [1] egc.module.layers.cluster_secomm egc.module.layers.disc_communitygan egc.module.layers.disc_dgi egc.module.layers.disc_gmi egc.module.layers.disc_mvgrl egc.module.layers.gat_daegc egc.module.layers.gcl_sublime egc.module.layers.gcn, [1] egc.module.layers.gcn_sublime egc.module.layers.gene_communitygan egc.module.layers.gmi egc.module.layers.grace_secomm egc.module.layers.graph_learner egc.module.layers.inner_product_de, [1] egc.module.layers.multilayer_dnn, [1] egc.module.layers.multilayer_gnn, [1] egc.module.layers.selfexpr_secomm egc.module.loss egc.module.loss.contrastive_loss, [1] egc.module.pretrain egc.module.pretrain.ComE egc.module.pretrain.ComE.community_embeddings_ComE egc.module.pretrain.ComE.context_embeddings_ComE egc.module.pretrain.ComE.node_embeddings_ComE egc.module.pretrain.ComE.SDG_utils egc.module.pretrain.ComE.SDG_utils.cython_utils egc.module.pretrain.ComE.SDG_utils.training_sdg_inner egc.module.pretrain.communitygan egc.module.pretrain.communitygan.agm_pretrain egc.module.pretrain.communitygan.kmeans_pretrain egc.utils egc.utils.argparser, [1] egc.utils.clustering, [1] egc.utils.ComE_utils egc.utils.common, [1] egc.utils.construct_DGLgraph, [1] egc.utils.danmf_utils egc.utils.data_loader egc.utils.data_loader.naive_data_loader egc.utils.evaluation, [1] egc.utils.graph_augmentation egc.utils.graph_augmentation.augs egc.utils.graph_augmentation.transforms egc.utils.graph_augmentation.transforms.feature_dropout egc.utils.graph_augmentation.transforms.node_shuffle egc.utils.graph_augmentation.transforms.random_mask egc.utils.graph_diffusion, [1] egc.utils.graph_statistics, [1] egc.utils.initialization, [1] egc.utils.load_data, [1] egc.utils.metrics, [1] egc.utils.model_management, [1] egc.utils.normalization, [1] egc.utils.sampling, [1] egc.utils.SEComm_utils egc.utils.sublime_utils

MultiLayerDNN (class in egc.module.layers.multilayer_dnn), [1] MultiLayerGNN (class in egc.module.layers.multilayer_gnn), [1] MVGRL (class in egc.model.node_embedding.mvgrl), [1]

N

NaiveDataLoader (class in egc.utils.data_loader.naive_data_loader) nearest_neighbors_pre_elu() (in module egc.utils.sublime_utils) Node2Vec (class in egc.module.pretrain.ComE.node_embeddings_ComE) NodeShuffle (class in egc.utils.graph_augmentation.transforms.node_shuffle)

normal_reparameterize() (in module egc.utils.sampling), [1] normalize_adj() (egc.model.node_embedding.agc.AGCEmbed method), [1] normalize_feature() (in module egc.utils.normalization), [1] normalize_sublime() (in module egc.utils.normalization), [1]

P

param_init() (egc.module.layers.graph_learner.GNN_learner method) (egc.module.layers.graph_learner.MLP_learner method) parse_all_args() (in module egc.utils.argparser) pca_kmeans() (in module egc.model.graph_clustering.disjoint.pca_kmeans), [1] pre_training() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] precalc_sampling() (egc.model.graph_clustering.disjoint.ComE.ComE method), [1] prepare_data_for_d() (egc.module.layers.disc_communitygan.DiscComGAN method) prepare_data_for_g() (egc.module.layers.gene_communitygan.GeneComGAN method) prepare_sentences() (in module egc.utils.ComE_utils) preprocess_adj() (in module egc.model.node_embedding.gmi)

preprocess_graph() (egc.model.node_embedding.sgc.SGC method), [1] (in module egc.model.node_embedding.age), [1] pretrain() (egc.model.graph_clustering.disjoint.dgc_mlp_gsl.DGC method), [1] (egc.model.graph_clustering.disjoint.gdcl.GDCL method), [1] (egc.model.graph_clustering.disjoint.idec.IDEC method), [1] print_model_parameters() (in module egc.utils.common), [1] print_statistics() (in module egc.utils.SEComm_utils) prob_to_one_hot() (in module egc.utils.SEComm_utils) process_edges_info() (in module egc.utils.construct_DGLgraph), [1] projection() (egc.module.layers.grace_secomm.SECommGraceModel method) purity() (in module egc.utils.evaluation), [1]

R

RandomChoiceAug (class in egc.utils.graph_augmentation.augs) RandomMask (class in egc.utils.graph_augmentation.transforms.random_mask) read_graph() (in module egc.utils.danmf_utils) Readout (class in egc.model.graph_clustering.disjoint.gdcl) (class in egc.model.node_embedding.mvgrl) recon_loss() (egc.model.graph_clustering.disjoint.vgaecd.VGAECD method), [1] reconstruct_loss() (in module egc.model.node_embedding.gmi) refresh_file() (in module egc.utils.common), [1]

reparameterize() (egc.model.node_embedding.vgae.DGL_VGAE method), [1] repeat() (in module egc.utils.SEComm_utils) RepeatCorpusNTimes (class in egc.utils.ComE_utils) reset() (egc.module.layers.selfexpr_secomm.SECommSelfExpr method) reset_communities_weights() (egc.model.graph_clustering.disjoint.ComE.ComE method), [1] reset_weights() (egc.model.graph_clustering.disjoint.ComE.ComE method), [1] run() (egc.utils.sampling.CommunityGANSampling method), [1] run_subprocess_command() (in module egc.utils.common), [1]

S

SAIF (class in egc.model.node_embedding.saif), [1] SampleDecoder (class in egc.model.node_embedding.age), [1] sampling() (egc.model.graph_clustering.overlapping.communityGAN.CommunityGAN method), [1] save_embedding() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] save_model() (in module egc.utils.model_management), [1] scale() (in module egc.model.node_embedding.age), [1] (in module egc.model.node_embedding.sgc) SDCN (class in egc.model.graph_clustering.disjoint.sdcn), [1] SEComm (class in egc.model.graph_clustering.disjoint.SEComm), [1] SECommClusterModel (class in egc.module.layers.cluster_secomm) SECommEncoder (class in egc.module.layers.grace_secomm) SECommGraceModel (class in egc.module.layers.grace_secomm) SECommSelfExpr (class in egc.module.layers.selfexpr_secomm) semi_loss() (egc.module.layers.grace_secomm.SECommGraceModel method) SENetEmbed (class in egc.model.node_embedding.SENet), [1] SENetKmeans (class in egc.model.graph_clustering.disjoint.SENet_kmeans), [1] set_adj_norm() (egc.model.node_embedding.gmi.GMIEmbed method), [1]

set_device() (in module egc.utils.common), [1] set_features_norm() (egc.model.node_embedding.gmi.GMIEmbed method), [1] set_seed() (in module egc.utils.common), [1] setup_Q() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] setup_z() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] SGC (class in egc.model.node_embedding.sgc), [1] SGCKmeans (class in egc.model.graph_clustering.disjoint.sgc_kmeans), [1] sim() (egc.module.layers.grace_secomm.SECommGraceModel method) sk_clustering() (in module egc.utils.clustering), [1] sklearn_pretrain() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] soft_kmeans_clustering() (in module egc.utils.clustering), [1] sparse_mx_to_torch_sparse_tensor() (in module egc.utils.common), [1] SparseDropout (class in egc.module.layers.gcl_sublime) split_batch() (in module egc.utils.sublime_utils) square_dist() (egc.model.node_embedding.agc.AGCEmbed method), [1] SUBLIME (class in egc.model.node_embedding.structure_learning.sublime) symmetrically_normalize_adj() (in module egc.utils.normalization), [1] symmetrize() (in module egc.utils.sublime_utils)

T

tab_printer() (in module egc.utils.common), [1] target_distribution() (egc.model.graph_clustering.disjoint.idec.IDEC static method), [1] (in module egc.model.graph_clustering.disjoint.daegc) (in module egc.model.graph_clustering.disjoint.gdcl) to_onehot() (egc.model.node_embedding.agc.AGCEmbed method), [1] top_k() (in module egc.utils.sublime_utils) torch_sparse_to_dgl_graph() (in module egc.utils.common), [1] train() (egc.module.pretrain.ComE.community_embeddings_ComE.Community2Vec method) (egc.module.pretrain.ComE.context_embeddings_ComE.Context2Vec method) (egc.module.pretrain.ComE.node_embeddings_ComE.Node2Vec method) train_o1() (in module egc.module.pretrain.ComE.SDG_utils.training_sdg_inner) train_o2() (in module egc.module.pretrain.ComE.SDG_utils.training_sdg_inner) training (egc.model.graph_clustering.disjoint.agcn.AGCN attribute), [1] (egc.model.graph_clustering.disjoint.agcn.MLP_1 attribute) (egc.model.graph_clustering.disjoint.agcn.MLP_2 attribute) (egc.model.graph_clustering.disjoint.agcn.MLP_3 attribute) (egc.model.graph_clustering.disjoint.agcn.MLP_L attribute) (egc.model.graph_clustering.disjoint.clusternet.ClusterNet attribute), [1] (egc.model.graph_clustering.disjoint.dfcn.DFCN attribute), [1] (egc.model.graph_clustering.disjoint.gala.GALA attribute), [1] (egc.model.graph_clustering.disjoint.gdcl.GDCL attribute), [1] (egc.model.graph_clustering.disjoint.gdcl.Readout attribute) (egc.model.graph_clustering.disjoint.sdcn.SDCN attribute), [1] (egc.model.node_embedding.ae.AE attribute), [1] (egc.model.node_embedding.ae.AE_decoder attribute), [1] (egc.model.node_embedding.ae.AE_encoder attribute), [1] (egc.model.node_embedding.agc.AGCEmbed attribute), [1] (egc.model.node_embedding.age.AGE attribute), [1] (egc.model.node_embedding.age.LinTrans attribute), [1] (egc.model.node_embedding.age.SampleDecoder attribute), [1] (egc.model.node_embedding.dgi.DGIEmbed attribute), [1] (egc.model.node_embedding.gae.DGL_GAE attribute), [1] (egc.model.node_embedding.gmi.GMIEmbed attribute), [1] (egc.model.node_embedding.igae.IGAE attribute), [1] (egc.model.node_embedding.igae.IGAE_decoder attribute), [1] (egc.model.node_embedding.igae.IGAE_encoder attribute), [1] (egc.model.node_embedding.mvgrl.MVGRL attribute), [1] (egc.model.node_embedding.mvgrl.Readout attribute) (egc.model.node_embedding.saif.SAIF attribute), [1] (egc.model.node_embedding.SENet.SENetEmbed attribute), [1] (egc.model.node_embedding.sgc.LinTrans attribute) (egc.model.node_embedding.sgc.SGC attribute), [1] (egc.model.node_embedding.structure_learning.sublime.SUBLIME attribute) (egc.model.node_embedding.vgae.Decoder attribute), [1] (egc.model.node_embedding.vgae.DGL_VGAE attribute), [1] (egc.model.node_embedding.vgae.Encoder attribute), [1] (egc.model.node_embedding.vgae.VGAE attribute), [1] (egc.module.layers.batch_gcn.BATCH_GCN attribute), [1] (egc.module.layers.cluster_secomm.SECommClusterModel attribute) (egc.module.layers.disc_communitygan.DiscComGAN attribute) (egc.module.layers.disc_dgi.DiscDGI attribute) (egc.module.layers.disc_gmi.DiscGMI attribute) (egc.module.layers.disc_mvgrl.DiscMVGRL attribute) (egc.module.layers.gat_daegc.GAT attribute) (egc.module.layers.gat_daegc.GATLayer attribute) (egc.module.layers.gcl_sublime.GCL_SUBLIME attribute) (egc.module.layers.gcl_sublime.GraphEncoder attribute) (egc.module.layers.gcl_sublime.SparseDropout attribute) (egc.module.layers.gcn.GCN attribute), [1] (egc.module.layers.gcn_sublime.GCNConv_dense attribute) (egc.module.layers.gcn_sublime.GCNConv_dgl attribute) (egc.module.layers.gene_communitygan.GeneComGAN attribute) (egc.module.layers.gmi.GMI attribute) (egc.module.layers.grace_secomm.SECommEncoder attribute) (egc.module.layers.grace_secomm.SECommGraceModel attribute) (egc.module.layers.graph_learner.ATT_learner attribute) (egc.module.layers.graph_learner.Attentive attribute) (egc.module.layers.graph_learner.FGP_learner attribute) (egc.module.layers.graph_learner.GNN_learner attribute) (egc.module.layers.graph_learner.MLP_learner attribute) (egc.module.layers.inner_product_de.InnerProductDecoder attribute), [1] (egc.module.layers.multilayer_dnn.MultiLayerDNN attribute), [1] (egc.module.layers.multilayer_gnn.MultiLayerGNN attribute), [1] (egc.module.layers.selfexpr_secomm.SECommSelfExpr attribute) (egc.module.loss.contrastive_loss.ClusterLoss attribute), [1] (egc.module.loss.contrastive_loss.InstanceLoss attribute), [1]

training() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1]

U

update_features() (egc.model.node_embedding.sgc.SGC method), [1] update_P() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] update_similarity() (in module egc.model.node_embedding.age), [1]

update_threshold() (in module egc.model.node_embedding.age), [1] update_U() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1] update_V() (egc.model.graph_clustering.disjoint.danmf.DANMF method), [1]

V

VGAE (class in egc.model.node_embedding.vgae), [1] VGAECD (class in egc.model.graph_clustering.disjoint.vgaecd), [1]

VGAEKmeans (class in egc.model.graph_clustering.disjoint.vgae_kmeans), [1] Vocab (class in egc.utils.ComE_utils)

W

write_walks_to_disk() (egc.utils.ComE_utils.WriteWalksToDisk method)

WriteWalksToDisk (class in egc.utils.ComE_utils)

X

xavier_normal() (in module egc.utils.ComE_utils)