SYMBOL INDEX (49 symbols across 3 files)

FILE: DCRN.py
  class AE_encoder (line 10) | class AE_encoder(nn.Module):
    method __init__ (line 11) | def __init__(self, ae_n_enc_1, ae_n_enc_2, ae_n_enc_3, n_input, n_z):
    method forward (line 19) | def forward(self, x):
  class AE_decoder (line 28) | class AE_decoder(nn.Module):
    method __init__ (line 29) | def __init__(self, ae_n_dec_1, ae_n_dec_2, ae_n_dec_3, n_input, n_z):
    method forward (line 38) | def forward(self, z_ae):
  class AE (line 47) | class AE(nn.Module):
    method __init__ (line 48) | def __init__(self, ae_n_enc_1, ae_n_enc_2, ae_n_enc_3, ae_n_dec_1, ae_...
  class GNNLayer (line 67) | class GNNLayer(Module):
    method __init__ (line 68) | def __init__(self, in_features, out_features):
    method forward (line 80) | def forward(self, features, adj, active=False):
  class IGAE_encoder (line 97) | class IGAE_encoder(nn.Module):
    method __init__ (line 98) | def __init__(self, gae_n_enc_1, gae_n_enc_2, gae_n_enc_3, n_input):
    method forward (line 105) | def forward(self, x, adj):
  class IGAE_decoder (line 114) | class IGAE_decoder(nn.Module):
    method __init__ (line 115) | def __init__(self, gae_n_dec_1, gae_n_dec_2, gae_n_dec_3, n_input):
    method forward (line 122) | def forward(self, z_igae, adj):
  class IGAE (line 131) | class IGAE(nn.Module):
    method __init__ (line 132) | def __init__(self, gae_n_enc_1, gae_n_enc_2, gae_n_enc_3, gae_n_dec_1,...
  class Readout (line 150) | class Readout(nn.Module):
    method __init__ (line 151) | def __init__(self, K):
    method forward (line 155) | def forward(self, Z):
  class DCRN (line 176) | class DCRN(nn.Module):
    method __init__ (line 177) | def __init__(self, n_node=None):
    method q_distribute (line 213) | def q_distribute(self, Z, Z_ae, Z_igae):
    method forward (line 234) | def forward(self, X_tilde1, Am, X_tilde2, Ad):

FILE: train.py
  function train (line 6) | def train(model, X, y, A, A_norm, Ad):

FILE: utils.py
  function setup (line 14) | def setup():
  function setup_seed (line 91) | def setup_seed(seed):
  function numpy_to_torch (line 108) | def numpy_to_torch(a, sparse=False):
  function torch_to_numpy (line 123) | def torch_to_numpy(t):
  function load_graph_data (line 132) | def load_graph_data(dataset_name, show_details=False):
  function normalize_adj (line 172) | def normalize_adj(adj, self_loop=True, symmetry=False):
  function gaussian_noised_feature (line 202) | def gaussian_noised_feature(X):
  function diffusion_adj (line 216) | def diffusion_adj(adj, mode="ppr", transport_rate=0.2):
  function remove_edge (line 244) | def remove_edge(A, similarity, remove_rate=0.1):
  function load_pretrain_parameter (line 265) | def load_pretrain_parameter(model):
  function model_init (line 280) | def model_init(model, X, y, A_norm):
  function reconstruction_loss (line 304) | def reconstruction_loss(X, A_norm, X_hat, Z_hat, A_hat):
  function target_distribution (line 323) | def target_distribution(Q):
  function distribution_loss (line 336) | def distribution_loss(Q, P):
  function r_loss (line 348) | def r_loss(AZ, Z):
  function off_diagonal (line 367) | def off_diagonal(x):
  function cross_correlation (line 379) | def cross_correlation(Z_v1, Z_v2):
  function correlation_reduction_loss (line 390) | def correlation_reduction_loss(S):
  function dicr_loss (line 400) | def dicr_loss(Z_ae, Z_igae, AZ, Z):
  function clustering (line 444) | def clustering(Z, y):
  function cluster_acc (line 459) | def cluster_acc(y_true, y_pred):
  function eva (line 505) | def eva(y_true, y_pred, show_details=True):