grb.model

• grb.model.cogdl
• grb.model.dgl
  • grb.model.dgl.gat
    • GAT
      • GAT.forward()
      • GAT.model_name
      • GAT.model_type
      • GAT.training
  • grb.model.dgl.gcn
    • GCN
      • GCN.forward()
      • GCN.model_type
      • GCN.training
  • grb.model.dgl.gin
    • ApplyNodeFunc
      • ApplyNodeFunc.forward()
      • ApplyNodeFunc.training
    • GIN
      • GIN.forward()
      • GIN.model_type
      • GIN.training
    • MLP
      • MLP.forward()
      • MLP.training
  • grb.model.dgl.grand
    • GRAND
      • GRAND.forward()
      • GRAND.model_name
      • GRAND.model_type
      • GRAND.training
    • GRANDConv()
    • drop_node()
• grb.model.torch
  • grb.model.torch.appnp
    • APPNP
      • APPNP.forward()
      • APPNP.model_name
      • APPNP.model_type
      • APPNP.reset_parameters()
      • APPNP.training
    • SparseEdgeDrop
      • SparseEdgeDrop.forward()
      • SparseEdgeDrop.training
  • grb.model.torch.gcn
    • GCN
      • GCN.forward()
      • GCN.model_name
      • GCN.model_type
      • GCN.reset_parameters()
      • GCN.training
    • GCNConv
      • GCNConv.forward()
      • GCNConv.reset_parameters()
      • GCNConv.training
    • GCNGC
      • GCNGC.forward()
      • GCNGC.model_name
      • GCNGC.model_type
      • GCNGC.reset_parameters()
      • GCNGC.training
  • grb.model.torch.gin
    • GIN
      • GIN.forward()
      • GIN.model_name
      • GIN.model_type
      • GIN.reset_parameters()
      • GIN.training
    • GINConv
      • GINConv.forward()
      • GINConv.reset_parameters()
      • GINConv.training
  • grb.model.torch.graphsage
    • GraphSAGE
      • GraphSAGE.forward()
      • GraphSAGE.model_name
      • GraphSAGE.model_type
      • GraphSAGE.reset_parameters()
      • GraphSAGE.training
    • SAGEConv
      • SAGEConv.forward()
      • SAGEConv.reset_parameters()
      • SAGEConv.training
  • grb.model.torch.robustgcn
  • grb.model.torch.sgcn
    • SGCN
      • SGCN.forward()
      • SGCN.model_name
      • SGCN.model_type
      • SGCN.training
    • SGConv
      • SGConv.forward()
      • SGConv.training
  • grb.model.torch.tagcn
    • TAGCN
      • TAGCN.forward()
      • TAGCN.model_name
      • TAGCN.model_type
      • TAGCN.reset_parameters()
      • TAGCN.training
    • TAGConv
      • TAGConv.forward()
      • TAGConv.reset_parameters()
      • TAGConv.training