All modules for which code is available

• egc.model.graph_clustering.base
• egc.model.graph_clustering.disjoint.ComE
• egc.model.graph_clustering.disjoint.SEComm
• egc.model.graph_clustering.disjoint.SENet_kmeans
• egc.model.graph_clustering.disjoint.agc_kmeans
• egc.model.graph_clustering.disjoint.agcn
• egc.model.graph_clustering.disjoint.age_cluster
• egc.model.graph_clustering.disjoint.cc
• egc.model.graph_clustering.disjoint.clusternet
• egc.model.graph_clustering.disjoint.daegc
• egc.model.graph_clustering.disjoint.danmf
• egc.model.graph_clustering.disjoint.dfcn
• egc.model.graph_clustering.disjoint.dgc
• egc.model.graph_clustering.disjoint.dgc_mlp
• egc.model.graph_clustering.disjoint.dgc_mlp_gsl
• egc.model.graph_clustering.disjoint.dgi_kmeans
• egc.model.graph_clustering.disjoint.gae_kmeans
• egc.model.graph_clustering.disjoint.gala
• egc.model.graph_clustering.disjoint.gdcl
• egc.model.graph_clustering.disjoint.gmi_kmeans
• egc.model.graph_clustering.disjoint.idec
• egc.model.graph_clustering.disjoint.mnmf
• egc.model.graph_clustering.disjoint.pca_kmeans
• egc.model.graph_clustering.disjoint.sdcn
• egc.model.graph_clustering.disjoint.sgc_kmeans
• egc.model.graph_clustering.disjoint.vgae_kmeans
• egc.model.graph_clustering.disjoint.vgaecd
• egc.model.graph_clustering.overlapping.communityGAN
• egc.model.node_embedding.SENet
• egc.model.node_embedding.ae
• egc.model.node_embedding.agc
• egc.model.node_embedding.age
• egc.model.node_embedding.dgi
• egc.model.node_embedding.gae
• egc.model.node_embedding.gmi
• egc.model.node_embedding.igae
• egc.model.node_embedding.mvgrl
• egc.model.node_embedding.saif
• egc.model.node_embedding.sgc
• egc.model.node_embedding.structure_learning.sublime
• egc.model.node_embedding.vgae
• egc.module.layers.batch_gcn
• 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
• 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
• egc.module.layers.multilayer_dnn
• egc.module.layers.multilayer_gnn
• egc.module.layers.selfexpr_secomm
• egc.module.loss.contrastive_loss
• egc.module.pretrain.ComE.SDG_utils.training_sdg_inner
• egc.module.pretrain.ComE.community_embeddings_ComE
• egc.module.pretrain.ComE.context_embeddings_ComE
• egc.module.pretrain.ComE.node_embeddings_ComE
• egc.module.pretrain.communitygan.agm_pretrain
• egc.module.pretrain.communitygan.kmeans_pretrain
• egc.utils.ComE_utils
• egc.utils.SEComm_utils
• egc.utils.argparser
• egc.utils.clustering
• egc.utils.common
• egc.utils.construct_DGLgraph
• egc.utils.danmf_utils
• egc.utils.data_loader.naive_data_loader
• egc.utils.evaluation
• egc.utils.graph_augmentation.augs
• 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
• egc.utils.graph_statistics
• egc.utils.initialization
• egc.utils.load_data
• egc.utils.metrics
• egc.utils.model_management
• egc.utils.normalization
• egc.utils.sampling
• egc.utils.sublime_utils