egc.model.graph_clustering package

Subpackages

• egc.model.graph_clustering.disjoint package
  • Submodules
  • egc.model.graph_clustering.disjoint.ComE module
    • ComE
      • ComE.build_vocab_()
      • ComE.precalc_sampling()
      • ComE.reset_weights()
      • ComE.reset_communities_weights()
      • ComE.make_table()
      • ComE.fit()
      • ComE.get_memberships()
  • egc.model.graph_clustering.disjoint.SEComm module
    • SEComm
      • SEComm.forward()
      • SEComm.fit()
      • SEComm.get_embedding()
      • SEComm.get_memberships()
  • egc.model.graph_clustering.disjoint.SENet_kmeans module
    • SENetKmeans
      • SENetKmeans.fit()
      • SENetKmeans.get_embedding()
      • SENetKmeans.get_memberships()
  • egc.model.graph_clustering.disjoint.agc_kmeans module
    • AGC
      • AGC.fit()
      • AGC.get_embedding()
      • AGC.get_memberships()
  • egc.model.graph_clustering.disjoint.agcn module
    • MLP_L
      • MLP_L.forward()
      • MLP_L.training
    • MLP_1
      • MLP_1.forward()
      • MLP_1.training
    • MLP_2
      • MLP_2.forward()
      • MLP_2.training
    • MLP_3
      • MLP_3.forward()
      • MLP_3.training
    • AGCN
      • AGCN.forward()
      • AGCN.init_cluster_layer_parameter()
      • AGCN.fit()
      • AGCN.get_memberships()
      • AGCN.get_embedding()
      • AGCN.training
  • egc.model.graph_clustering.disjoint.age_cluster module
    • age_cluster
      • age_cluster.fit()
      • age_cluster.get_embedding()
      • age_cluster.get_memberships()
  • egc.model.graph_clustering.disjoint.cc module
    • ContrastiveClustering
      • ContrastiveClustering.forward()
      • ContrastiveClustering.forward_cluster()
      • ContrastiveClustering.forward_instance()
      • ContrastiveClustering.fit()
      • ContrastiveClustering.get_embedding()
      • ContrastiveClustering.get_memberships()
  • egc.model.graph_clustering.disjoint.clusternet module
    • ClusterNet
      • ClusterNet.forward()
      • ClusterNet.fit()
      • ClusterNet.get_embedding()
      • ClusterNet.get_memberships()
      • ClusterNet.training
  • egc.model.graph_clustering.disjoint.daegc module
    • DAEGC
      • DAEGC.forward()
      • DAEGC.fit()
      • DAEGC.get_Q()
      • DAEGC.get_embedding()
      • DAEGC.get_memberships()
    • target_distribution()
    • get_M()
  • egc.model.graph_clustering.disjoint.danmf module
    • DANMF
      • DANMF.setup_z()
      • DANMF.sklearn_pretrain()
      • DANMF.pre_training()
      • DANMF.setup_Q()
      • DANMF.update_U()
      • DANMF.update_P()
      • DANMF.update_V()
      • DANMF.calculate_cost()
      • DANMF.save_embedding()
      • DANMF.gen_membership()
      • DANMF.training()
  • egc.model.graph_clustering.disjoint.dfcn module
    • DFCN
      • DFCN.forward()
      • DFCN.get_embedding()
      • DFCN.get_memberships()
      • DFCN.fit()
      • DFCN.training
  • egc.model.graph_clustering.disjoint.dgc module
    • DGC
      • DGC.forward()
      • DGC.loss()
      • DGC.fit()
      • DGC.get_embedding()
      • DGC.get_memberships()
  • egc.model.graph_clustering.disjoint.dgc_mlp module
    • DGC
      • DGC.forward()
      • DGC.loss()
      • DGC.fit()
      • DGC.get_embedding()
      • DGC.get_memberships()
  • egc.model.graph_clustering.disjoint.dgc_mlp_gsl module
    • DGC
      • DGC.load_best_model()
      • DGC.forward()
      • DGC.loss()
      • DGC.pretrain()
      • DGC.learn_structure()
      • DGC.fit()
      • DGC.get_embedding()
      • DGC.get_memberships()
  • egc.model.graph_clustering.disjoint.dgi_kmeans module
    • DGIKmeans
      • DGIKmeans.fit()
      • DGIKmeans.get_embedding()
      • DGIKmeans.get_memberships()
  • egc.model.graph_clustering.disjoint.gae_kmeans module
    • DGL_GAEKmeans
      • DGL_GAEKmeans.fit()
      • DGL_GAEKmeans.get_embedding()
      • DGL_GAEKmeans.get_memberships()
  • egc.model.graph_clustering.disjoint.gala module
    • GALA
      • GALA.forward()
      • GALA.init_weights()
      • GALA.fit()
      • GALA.get_encoder_operator()
      • GALA.get_decoder_operator()
      • GALA.get_memberships()
      • GALA.training
  • egc.model.graph_clustering.disjoint.gdcl module
    • Readout
      • Readout.forward()
      • Readout.training
    • GDCL
      • GDCL.pretrain()
      • GDCL.embed()
      • GDCL.forward()
      • GDCL.fit()
      • GDCL.get_embedding()
      • GDCL.get_memberships()
      • GDCL.training
    • target_distribution()
  • egc.model.graph_clustering.disjoint.gmi_kmeans module
    • GMIKmeans
      • GMIKmeans.fit()
      • GMIKmeans.get_embedding()
      • GMIKmeans.get_memberships()
  • egc.model.graph_clustering.disjoint.idec module
    • IDEC
      • IDEC.clustering()
      • IDEC.get_distance()
      • IDEC.get_t_distribution()
      • IDEC.target_distribution()
      • IDEC.pretrain()
      • IDEC.forward()
      • IDEC.fit()
      • IDEC.get_embedding()
      • IDEC.get_memberships()
  • egc.model.graph_clustering.disjoint.mnmf module
    • MNMF
      • MNMF.get_memberships()
      • MNMF.get_embedding()
      • MNMF.get_cluster_centers()
      • MNMF.fit()
  • egc.model.graph_clustering.disjoint.pca_kmeans module
    • pca_kmeans()
  • egc.model.graph_clustering.disjoint.sdcn module
    • SDCN
      • SDCN.forward()
      • SDCN.init_cluster_layer_parameter()
      • SDCN.fit()
      • SDCN.get_memberships()
      • SDCN.get_embedding()
      • SDCN.training
  • egc.model.graph_clustering.disjoint.sgc_kmeans module
    • SGCKmeans
      • SGCKmeans.fit()
      • SGCKmeans.get_embedding()
      • SGCKmeans.get_memberships()
  • egc.model.graph_clustering.disjoint.vgae_kmeans module
    • DGL_VGAEKmeans
      • DGL_VGAEKmeans.fit()
      • DGL_VGAEKmeans.get_embedding()
      • DGL_VGAEKmeans.get_memberships()
    • VGAEKmeans
      • VGAEKmeans.fit()
      • VGAEKmeans.get_embedding()
      • VGAEKmeans.get_memberships()
  • egc.model.graph_clustering.disjoint.vgaecd module
    • VGAECD
      • VGAECD.recon_loss()
      • VGAECD.forward()
      • VGAECD.fit()
      • VGAECD.get_embedding()
      • VGAECD.get_memberships()
  • Module contents
• egc.model.graph_clustering.overlapping package
  • Submodules
  • egc.model.graph_clustering.overlapping.communityGAN module
    • CommunityGAN
      • CommunityGAN.sampling()
      • CommunityGAN.forward()
      • CommunityGAN.fit()
      • CommunityGAN.get_embedding()
      • CommunityGAN.get_memberships()
      • CommunityGAN.get_disjoint_memberships()
      • CommunityGAN.get_overlapping_memberships()
  • Module contents

Submodules

egc.model.graph_clustering.base module

Base Model for Graph Clustering

class egc.model.graph_clustering.base.Base

Bases: object

Base class with constructor and public methods for Graph Clustering model.

fit(*fit_input: Any) → None

get_embedding(*fit_input: Any) → None

get_memberships(*fit_input: Any) → None

get_cluster_centers()

Getting the cluster centers.

Module contents

Graph Clustering Models