GraphSL.GNN package

Subpackages

• GraphSL.GNN.GCNSI package
  • Submodules
  • GraphSL.GNN.GCNSI.main module
    • GCNSI
      • GCNSI.test()
      • GCNSI.train()
  • GraphSL.GNN.GCNSI.model module
    • GCNConv
      • GCNConv.forward()
    • GCNSI_model
      • GCNSI_model.forward()
  • Module contents
• GraphSL.GNN.IVGD package
  • Submodules
  • GraphSL.GNN.IVGD.correction module
    • correction
      • correction.forward()
  • GraphSL.GNN.IVGD.main module
    • IVGD
      • IVGD.normalize()
      • IVGD.test()
      • IVGD.train()
      • IVGD.train_diffusion()
    • IVGD_model
      • IVGD_model.forward()
  • GraphSL.GNN.IVGD.diffusion_model module
    • I_GCN
      • I_GCN.backward()
      • I_GCN.forward()
    • I_GCNLayer
      • I_GCNLayer.forward()
  • GraphSL.GNN.IVGD.validity_net module
    • validity_net
      • validity_net.correction()
      • validity_net.forward()
  • Module contents
• GraphSL.GNN.SLVAE package
  • Submodules
  • GraphSL.GNN.SLVAE.main module
    • SLVAE
      • SLVAE.infer()
      • SLVAE.train()
    • SLVAE_model
      • SLVAE_model.forward()
      • SLVAE_model.infer_loss()
      • SLVAE_model.train_loss()
  • GraphSL.GNN.SLVAE.model module
    • Decoder
      • Decoder.forward()
    • Encoder
      • Encoder.forward()
    • GCNLayer
      • GCNLayer.forward()
    • GNN
      • GNN.forward()
      • GNN.loss()
    • VAE
      • VAE.decode()
      • VAE.encode()
      • VAE.forward()
      • VAE.reparameterization()
  • Module contents

Module contents