egc package

Subpackages

• egc.model package
  • Subpackages
    • egc.model.graph_clustering package
      • Subpackages
      • Submodules
      • egc.model.graph_clustering.base module
      • Module contents
    • egc.model.node_embedding package
      • Subpackages
      • Submodules
      • egc.model.node_embedding.SENet module
      • egc.model.node_embedding.ae module
      • egc.model.node_embedding.agc module
      • egc.model.node_embedding.age module
      • egc.model.node_embedding.dgi module
      • egc.model.node_embedding.gae module
      • egc.model.node_embedding.gmi module
      • egc.model.node_embedding.igae module
      • egc.model.node_embedding.mvgrl module
      • egc.model.node_embedding.saif module
      • egc.model.node_embedding.sgc module
      • egc.model.node_embedding.vgae module
      • Module contents
  • Module contents
• egc.module package
  • Subpackages
    • egc.module.layers package
      • Submodules
      • egc.module.layers.batch_gcn module
      • 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
      • 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
      • egc.module.layers.multilayer_dnn module
      • egc.module.layers.multilayer_gnn module
      • egc.module.layers.selfexpr_secomm module
      • Module contents
    • egc.module.loss package
      • Submodules
      • egc.module.loss.contrastive_loss module
      • Module contents
    • egc.module.pretrain package
      • Subpackages
      • Module contents
  • Module contents
• egc.utils package
  • Subpackages
    • egc.utils.data_loader package
      • Submodules
      • egc.utils.data_loader.naive_data_loader module
      • Module contents
    • egc.utils.graph_augmentation package
      • Subpackages
      • Submodules
      • egc.utils.graph_augmentation.augs module
      • Module contents
  • Submodules
  • egc.utils.ComE_utils module
    • chunkize_serial()
    • prepare_sentences()
    • batch_generator()
    • RepeatCorpusNTimes
    • Vocab
    • xavier_normal()
    • WriteWalksToDisk
      • WriteWalksToDisk.write_walks_to_disk()
    • combine_files_iter()
    • count_lines()
    • build_deepwalk_corpus_iter()
    • count_textfiles()
    • count_words()
    • grouper()
    • judgeExist()
    • initComeEnv()
    • getFile()
  • egc.utils.SEComm_utils module
    • enhance_sim_matrix()
    • drop_feature()
    • dropout_adj0()
    • repeat()
    • prob_to_one_hot()
    • print_statistics()
    • label_classification()
  • egc.utils.argparser module
    • models
    • parse_all_args()
    • get_default_args()
  • egc.utils.clustering module
    • sk_clustering()
    • soft_kmeans_clustering()
  • egc.utils.common module
    • sparse_mx_to_torch_sparse_tensor()
    • MF()
    • tab_printer()
    • make_parent_dirs()
    • refresh_file()
    • csv2file()
    • set_seed()
    • set_device()
    • print_model_parameters()
    • run_subprocess_command()
    • dump_var()
    • load_var()
    • load_or_dump()
    • torch_sparse_to_dgl_graph()
    • dgl_graph_to_torch_sparse()
  • egc.utils.construct_DGLgraph module
    • construct_DGLgraph_for_non_graph()
    • construct_DGLgraph_for_non_graph_by_heat()
    • construct_DGLgraph_for_graph()
    • process_edges_info()
    • build_graph()
  • egc.utils.danmf_utils module
    • read_graph()
    • loss_printer()
  • egc.utils.evaluation module
    • purity()
    • best_mapping()
    • evaluation()
  • egc.utils.graph_diffusion module
    • compute_ppr()
  • egc.utils.graph_statistics module
    • count_label()
    • get_intra_class_edges()
    • get_intra_class_mean_distance()
    • get_neighbor_set()
    • get_motifs_with_one_more_node()
    • get_undireced_motifs()
  • egc.utils.initialization module
    • init_weights()
  • egc.utils.load_data module
    • load_data()
    • load_ogb_data()
    • load_dgl_data()
    • allclose()
    • is_bidirected()
    • AE_LoadDataset
    • load_mat_data2dgl()
    • bar_progress()
    • load_BlogCatalog()
    • load_Flickr()
    • load_ACM()
    • load_DBLP()
  • egc.utils.metrics module
    • get_soft_assignment_matrix()
    • get_modularity_matrix()
    • get_modularity_value()
  • egc.utils.model_management module
    • get_checkpoint_path()
    • save_model()
    • load_model()
  • egc.utils.normalization module
    • normalize_feature()
    • symmetrically_normalize_adj()
    • asymmetric_normalize_adj()
    • normalize_sublime()
  • egc.utils.sampling module
    • get_repeat_shuffle_nodes_list()
    • normal_reparameterize()
    • agm()
    • choice()
    • CommunityGANSampling
      • CommunityGANSampling.g_v()
      • CommunityGANSampling.g_s()
      • CommunityGANSampling.run()
  • egc.utils.sublime_utils module
    • nearest_neighbors_pre_elu()
    • knn_fast()
    • apply_non_linearity()
    • cal_similarity_graph()
    • top_k()
    • get_feat_mask()
    • symmetrize()
    • split_batch()
  • Module contents

Module contents

EAGLE Graph Clustering