ReDKG

Contents:

  • redkg package
    • redkg.models package
      • MLP
      • Net
      • GAT
      • GCN
      • AbstractLayer
      • GCNGRU
      • GRU
      • GraphConvolution
      • GraphSAGE
      • KGEModel
    • Config
    • BidirectionalOneShotIterator
    • TestDataset
    • TrainDataset
    • get_info()
    • Simulator
    • Evaluator
    • generate_subgraphs()
    • generate_subgraphs_dataset()
    • common_neighbors()
    • generate_negative_samples()
    • DataPreprocessor
    • TrainPipeline
    • train_gnn_model()
    • train_kge_model()
    • AttributeDict
    • pickle_dump()
    • pickle_load()
ReDKG
  • redkg package
  • View page source

redkg package

Subpackages

  • redkg.models package
    • Submodules
      • MLP
        • MLP.forward()
      • Net
        • Net.forward()
      • GAT
        • GAT.forward()
        • GAT.predict_edges()
      • GCN
        • GCN.forward()
        • GCN.predict_edges()
      • AbstractLayer
        • AbstractLayer.distance()
        • AbstractLayer.forward_gcn()
        • AbstractLayer.get_n_hop()
      • GCNGRU
        • GCNGRU.forward()
      • GRU
        • GRU.forward()
        • GRU.transe_forward()
      • GraphConvolution
        • GraphConvolution.forward()
        • GraphConvolution.reset_parameters()
        • GraphConvolution.weight
      • GraphSAGE
        • GraphSAGE.forward()
        • GraphSAGE.predict_edges()
      • KGEModel
        • KGEModel.ComplEx()
        • KGEModel.DistMult()
        • KGEModel.RotatE()
        • KGEModel.TransE()
        • KGEModel.forward()
        • KGEModel.test_step()
        • KGEModel.train_step()

Submodules

  • Config
  • BidirectionalOneShotIterator
    • BidirectionalOneShotIterator.one_shot_iterator()
  • TestDataset
    • TestDataset.collate_fn()
  • TrainDataset
    • TrainDataset.collate_fn()
  • get_info()
  • Simulator
    • Simulator.get_user_data()
    • Simulator.step()
  • Evaluator
    • Evaluator.eval()
  • generate_subgraphs()
  • generate_subgraphs_dataset()
  • common_neighbors()
  • generate_negative_samples()
  • DataPreprocessor
    • DataPreprocessor.process_data()
  • TrainPipeline
    • TrainPipeline.memory_sampling()
    • TrainPipeline.optimize_model()
    • TrainPipeline.run()
    • TrainPipeline.tmp_Q_eps_greedy()
  • train_gnn_model()
  • train_kge_model()
  • AttributeDict
  • pickle_dump()
  • pickle_load()
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