|  | 
| class | TMVA_SOFIE_GNN.MLPGraphNetwork | 
|  | 
| class | TMVA_SOFIE_GNN.SofieGNN | 
|  | 
|  | 
|  | input_data) | 
|  | 
|  | TMVA_SOFIE_GNN.GenerateData () | 
|  | 
|  | GLOBAL_FEATURE_SIZE=1) | 
|  | 
|  | TMVA_SOFIE_GNN.make_mlp_model () | 
|  | 
|  | printShape=False) | 
|  | 
|  | inputGraphData) | 
|  | 
|  | 
|  | TMVA_SOFIE_GNN.c2 = c0.cd(2) | 
|  | 
|  | TMVA_SOFIE_GNN.core | 
|  | 
|  | LATENT_SIZE) | 
|  | 
|  | GenerateData() | 
|  | 
| list | TMVA_SOFIE_GNN.dataSet = [] | 
|  | 
|  | LATENT_SIZE) | 
|  | 
|  | TMVA_SOFIE_GNN.decoder | 
|  | 
|  | TMVA_SOFIE_GNN.edge_data | 
|  | 
|  | TMVA_SOFIE_GNN.edge_index | 
|  | 
| TMVA_SOFIE_GNN.edge_size = 4 | 
|  | 
|  | outGnet[1].edges.numpy() | 
|  | 
|  | edge_data) | 
|  | 
|  | TMVA_SOFIE_GNN.encoder | 
|  | 
|  | TMVA_SOFIE_GNN.end = time.time() | 
|  | 
|  | TMVA_SOFIE_GNN.endSC = time.time() | 
|  | 
|  | EncodeProcessDecode() | 
|  | 
|  | out[1].globals.numpy() | 
|  | 
| str | TMVA_SOFIE_GNN.gen_code | 
|  | 
|  | TMVA_SOFIE_GNN.global_data | 
|  | 
| TMVA_SOFIE_GNN.global_size = 1 | 
|  | 
|  | outGnet[1].globals.numpy() | 
|  | 
|  | global_data) | 
|  | 
|  | graphData]) | 
|  | 
| list | TMVA_SOFIE_GNN.gnetData = [] | 
|  | 
|  | SofieGNN() | 
|  | 
|  | global_size) | 
|  | 
| list | dataSet[i] | 
|  | 
|  | data", 40, 1, 0) | 
|  | 
|  | data", 40, 1, 0) | 
|  | 
|  | data", 40, 1, 0) | 
|  | 
|  | graphnet", 20, 1, 0) | 
|  | 
|  | SOFIE", 20, 1, 0) | 
|  | 
|  | CoreGraphData]) | 
|  | 
|  | TMVA_SOFIE_GNN.input_data = ROOT.TMVA.Experimental.SOFIE.GNN_Data() | 
|  | 
|  | GraphData]) | 
|  | 
| TMVA_SOFIE_GNN.LATENT_SIZE = 100 | 
|  | 
|  | TMVA_SOFIE_GNN.node_data | 
|  | 
| TMVA_SOFIE_GNN.node_size = 4 | 
|  | 
|  | outGnet[1].nodes.numpy() | 
|  | 
|  | node_data) | 
|  | 
| TMVA_SOFIE_GNN.num_edges = 20 | 
|  | 
| TMVA_SOFIE_GNN.NUM_LAYERS = 4 | 
|  | 
| TMVA_SOFIE_GNN.num_nodes = 5 | 
|  | 
| TMVA_SOFIE_GNN.numevts = 40 | 
|  | 
|  | gnetData[i]) | 
|  | 
|  | gnetData[i]) | 
|  | 
|  | processing_steps) | 
|  | 
|  | TMVA_SOFIE_GNN.output_transform | 
|  | 
|  | sofieData[i]) | 
|  | 
| TMVA_SOFIE_GNN.processing_steps = 5 | 
|  | 
|  | dtype="int32") | 
|  | 
|  | dtype="int32") | 
|  | 
| list | TMVA_SOFIE_GNN.sofieData = [] | 
|  | 
|  | TMVA_SOFIE_GNN.start = time.time() | 
|  | 
|  | TMVA_SOFIE_GNN.start0 = time.time() | 
|  | 
  
  
 
 
 
Definition in file TMVA_SOFIE_GNN.py.