↓ 6 callersFunctionjagged_forward(list_graph, list_of_list_cand, graph_enc, cand_enc, att_func, list_target_pos=None, normalize=True)
gln/graph_logic/soft_logic.py:28
↓ 2 callersMethod__init__(self, input_dim, hidden_dims, nonlinearity='elu', act_last=None, bn=False, dropout=-1)
gln/mods/mol_gnn/torch_util.py:47
↓ 1 callersMethod__init__(self, node_state_dim, output_dim, max_lv, act_func, out_method, readout_agg, act_last, bn)
gln/mods/mol_gnn/gnn_family/utils.py:69
↓ 1 callersMethod__init__(self, latent_dim, output_dim, num_node_feats, num_edge_feats, max_lv=3, act_func='tanh', readout_agg='sum', s
gln/mods/mol_gnn/gnn_family/mean_field.py:30
↓ 1 callersMethod__init__(self, latent_dim, output_dim, num_node_feats, num_edge_feats, max_lv=3, act_func='relu', readout_agg='sum', a
gln/mods/mol_gnn/gnn_family/s2v.py:30
↓ 1 callersMethod__init__(self, node_state_dim, output_dims, edge_hidden_sizes,
num_node_feats, num_edge_feats, max_l
gln/mods/mol_gnn/gnn_family/ggnn.py:46
↓ 1 callersFunctiondata_gen(num_workers, worker_func, worker_args, max_qsize=16384, max_gen=-1, timeout=60)
gln/training/data_gen.py:130