recbole.model.knowledge_aware_recommender

• CFKG
• CFKG
  • CFKG.calculate_loss()
  • CFKG.forward()
  • CFKG.input_type
  • CFKG.predict()
  • CFKG.training
• InnerProductLoss
  • InnerProductLoss.forward()
  • InnerProductLoss.training
• CKE
• CKE
  • CKE.calculate_loss()
  • CKE.forward()
  • CKE.full_sort_predict()
  • CKE.input_type
  • CKE.predict()
  • CKE.training
• KGAT
• Aggregator
  • Aggregator.forward()
  • Aggregator.training
• KGAT
  • KGAT.calculate_kg_loss()
  • KGAT.calculate_loss()
  • KGAT.forward()
  • KGAT.full_sort_predict()
  • KGAT.generate_transE_score()
  • KGAT.init_graph()
  • KGAT.input_type
  • KGAT.predict()
  • KGAT.training
  • KGAT.update_attentive_A()
• KGCN
• KGCN
  • KGCN.aggregate()
  • KGCN.calculate_loss()
  • KGCN.construct_adj()
  • KGCN.forward()
  • KGCN.full_sort_predict()
  • KGCN.get_neighbors()
  • KGCN.input_type
  • KGCN.mix_neighbor_vectors()
  • KGCN.predict()
  • KGCN.training
• KGIN
• Aggregator
  • Aggregator.forward()
  • Aggregator.training
• GraphConv
  • GraphConv.calculate_cor_loss()
  • GraphConv.edge_sampling()
  • GraphConv.forward()
  • GraphConv.training
• KGIN
  • KGIN.calculate_loss()
  • KGIN.forward()
  • KGIN.full_sort_predict()
  • KGIN.get_edges()
  • KGIN.get_norm_inter_matrix()
  • KGIN.input_type
  • KGIN.predict()
  • KGIN.training
• KGNNLS
• KGNNLS
  • KGNNLS.aggregate()
  • KGNNLS.calculate_loss()
  • KGNNLS.calculate_ls_loss()
  • KGNNLS.construct_adj()
  • KGNNLS.forward()
  • KGNNLS.full_sort_predict()
  • KGNNLS.get_interaction_table()
  • KGNNLS.get_neighbors()
  • KGNNLS.input_type
  • KGNNLS.label_smoothness_predict()
  • KGNNLS.predict()
  • KGNNLS.sample_neg_interaction()
  • KGNNLS.training
• KTUP
• KTUP
  • KTUP.calculate_kg_loss()
  • KTUP.calculate_loss()
  • KTUP.convert_to_one_hot()
  • KTUP.forward()
  • KTUP.input_type
  • KTUP.predict()
  • KTUP.st_gumbel_softmax()
  • KTUP.training
• alignLoss()
• orthogonalLoss()
• MCCLK
• Aggregator
  • Aggregator.calculate_sim_hrt()
  • Aggregator.forward()
  • Aggregator.training
• GraphConv
  • GraphConv.build_adj()
  • GraphConv.edge_sampling()
  • GraphConv.forward()
  • GraphConv.training
• MCCLK
  • MCCLK.calculate_loss()
  • MCCLK.forward()
  • MCCLK.full_sort_predict()
  • MCCLK.get_edges()
  • MCCLK.get_norm_inter_matrix()
  • MCCLK.global_level_loss_1()
  • MCCLK.global_level_loss_2()
  • MCCLK.input_type
  • MCCLK.light_gcn()
  • MCCLK.local_level_loss()
  • MCCLK.predict()
  • MCCLK.sim()
  • MCCLK.training
• MKR
• CrossCompressUnit
  • CrossCompressUnit.forward()
  • CrossCompressUnit.training
• MKR
  • MKR.calculate_kg_loss()
  • MKR.calculate_rs_loss()
  • MKR.forward()
  • MKR.input_type
  • MKR.predict()
  • MKR.training
• RippleNet
• RippleNet
  • RippleNet.calculate_loss()
  • RippleNet.forward()
  • RippleNet.full_sort_predict()
  • RippleNet.input_type
  • RippleNet.predict()
  • RippleNet.training