egc.model package

Subpackages

• egc.model.graph_clustering package
  • Subpackages
    • egc.model.graph_clustering.disjoint package
      • Submodules
      • egc.model.graph_clustering.disjoint.ComE module
      • egc.model.graph_clustering.disjoint.SEComm module
      • egc.model.graph_clustering.disjoint.SENet_kmeans module
      • egc.model.graph_clustering.disjoint.agc_kmeans module
      • egc.model.graph_clustering.disjoint.agcn module
      • egc.model.graph_clustering.disjoint.age_cluster module
      • egc.model.graph_clustering.disjoint.cc module
      • egc.model.graph_clustering.disjoint.clusternet module
      • egc.model.graph_clustering.disjoint.daegc module
      • egc.model.graph_clustering.disjoint.danmf module
      • egc.model.graph_clustering.disjoint.dfcn module
      • egc.model.graph_clustering.disjoint.dgc module
      • egc.model.graph_clustering.disjoint.dgc_mlp module
      • egc.model.graph_clustering.disjoint.dgc_mlp_gsl module
      • egc.model.graph_clustering.disjoint.dgi_kmeans module
      • egc.model.graph_clustering.disjoint.gae_kmeans module
      • egc.model.graph_clustering.disjoint.gala module
      • egc.model.graph_clustering.disjoint.gdcl module
      • egc.model.graph_clustering.disjoint.gmi_kmeans module
      • egc.model.graph_clustering.disjoint.idec module
      • egc.model.graph_clustering.disjoint.mnmf module
      • egc.model.graph_clustering.disjoint.pca_kmeans module
      • egc.model.graph_clustering.disjoint.sdcn module
      • egc.model.graph_clustering.disjoint.sgc_kmeans module
      • egc.model.graph_clustering.disjoint.vgae_kmeans module
      • egc.model.graph_clustering.disjoint.vgaecd module
      • Module contents
    • egc.model.graph_clustering.overlapping package
      • Submodules
      • egc.model.graph_clustering.overlapping.communityGAN module
      • Module contents
  • Submodules
  • egc.model.graph_clustering.base module
    • Base
      • Base.fit()
      • Base.get_embedding()
      • Base.get_memberships()
      • Base.get_cluster_centers()
  • Module contents
• egc.model.node_embedding package
  • Subpackages
    • egc.model.node_embedding.structure_learning package
      • Submodules
      • egc.model.node_embedding.structure_learning.sublime module
      • Module contents
  • Submodules
  • egc.model.node_embedding.SENet module
    • get_improved_graph()
    • SENetEmbed
      • SENetEmbed.forward()
      • SENetEmbed.get_imporved_feature()
      • SENetEmbed.get_normalized_kernel_martix()
      • SENetEmbed.init_weights()
      • SENetEmbed.get_embedding()
      • SENetEmbed.fit()
      • SENetEmbed.training
  • egc.model.node_embedding.ae module
    • AE
      • AE.forward()
      • AE.fit()
      • AE.training
    • AE_encoder
      • AE_encoder.forward()
      • AE_encoder.training
    • AE_decoder
      • AE_decoder.training
      • AE_decoder.forward()
  • egc.model.node_embedding.agc module
    • AGCEmbed
      • AGCEmbed.forward()
      • AGCEmbed.fit()
      • AGCEmbed.normalize_adj()
      • AGCEmbed.to_onehot()
      • AGCEmbed.square_dist()
      • AGCEmbed.get_embedding()
      • AGCEmbed.training
  • egc.model.node_embedding.age module
    • AGE
      • AGE.forward()
      • AGE.fit()
      • AGE.get_embedding()
      • AGE.training
    • LinTrans
      • LinTrans.forward()
      • LinTrans.training
    • SampleDecoder
      • SampleDecoder.forward()
      • SampleDecoder.training
    • loss_function()
    • update_similarity()
    • update_threshold()
    • preprocess_graph()
    • scale()
  • egc.model.node_embedding.dgi module
    • avg_readout()
    • DGIEmbed
      • DGIEmbed.forward()
      • DGIEmbed.fit()
      • DGIEmbed.get_embedding()
      • DGIEmbed.training
  • egc.model.node_embedding.gae module
    • bce_loss()
    • DGL_GAE
      • DGL_GAE.Encode()
      • DGL_GAE.Decode()
      • DGL_GAE.forward()
      • DGL_GAE.fit()
      • DGL_GAE.training
      • DGL_GAE.get_embedding()
  • egc.model.node_embedding.gmi module
    • mi_loss_jsd()
    • reconstruct_loss()
    • preprocess_adj()
    • GMIEmbed
      • GMIEmbed.calc_loss()
      • GMIEmbed.forward()
      • GMIEmbed.fit()
      • GMIEmbed.set_features_norm()
      • GMIEmbed.set_adj_norm()
      • GMIEmbed.get_features_norm()
      • GMIEmbed.get_adj_norm()
      • GMIEmbed.get_embedding()
      • GMIEmbed.training
  • egc.model.node_embedding.igae module
    • IGAE
      • IGAE.forward()
      • IGAE.fit()
      • IGAE.training
    • IGAE_encoder
      • IGAE_encoder.forward()
      • IGAE_encoder.training
    • IGAE_decoder
      • IGAE_decoder.forward()
      • IGAE_decoder.training
  • egc.model.node_embedding.mvgrl module
    • Readout
      • Readout.forward()
      • Readout.training
    • MVGRL
      • MVGRL.forward()
      • MVGRL.fit()
      • MVGRL.get_embedding()
      • MVGRL.get_memberships()
      • MVGRL.training
  • egc.model.node_embedding.saif module
    • SAIF
      • SAIF.forward()
      • SAIF.get_embedding()
      • SAIF.fit()
      • SAIF.training
  • egc.model.node_embedding.sgc module
    • eliminate_zeros()
    • scale()
    • LinTrans
      • LinTrans.forward()
      • LinTrans.training
    • SGC
      • SGC.bce_loss()
      • SGC.preprocess_graph()
      • SGC.update_features()
      • SGC.forward()
      • SGC.fit()
      • SGC.get_embedding()
      • SGC.training
  • egc.model.node_embedding.vgae module
    • Encoder
      • Encoder.forward()
      • Encoder.training
    • Decoder
      • Decoder.forward()
      • Decoder.training
    • VGAE
      • VGAE.forward()
      • VGAE.fit()
      • VGAE.get_embedding()
      • VGAE.training
    • loss_function()
    • DGL_VGAE
      • DGL_VGAE.encode()
      • DGL_VGAE.reparameterize()
      • DGL_VGAE.forward()
      • DGL_VGAE.fit()
      • DGL_VGAE.get_embedding()
      • DGL_VGAE.training
      • DGL_VGAE.get_memberships()
  • Module contents

Module contents

Models