SYMBOL INDEX (32 symbols across 7 files)

FILE: GNN.py
  class GNNLayer (line 8) | class GNNLayer(Module):
    method __init__ (line 9) | def __init__(self, in_features, out_features):
    method forward (line 16) | def forward(self, features, adj, active=True):

FILE: calcu_graph.py
  function construct_graph (line 10) | def construct_graph(features, label, method='heat'):

FILE: data/evaluation.py
  function cluster_acc (line 9) | def cluster_acc(y_true, y_pred):
  function eva (line 66) | def eva(y_true, y_pred, epoch=0):

FILE: data/pretrain.py
  class AE (line 17) | class AE(nn.Module):
    method __init__ (line 19) | def __init__(self, n_enc_1, n_enc_2, n_enc_3, n_dec_1, n_dec_2, n_dec_3,
    method forward (line 32) | def forward(self, x):
  class LoadDataset (line 46) | class LoadDataset(Dataset):
    method __init__ (line 47) | def __init__(self, data):
    method __len__ (line 50) | def __len__(self):
    method __getitem__ (line 53) | def __getitem__(self, idx):
  function adjust_learning_rate (line 58) | def adjust_learning_rate(optimizer, epoch):
  function pretrain_ae (line 64) | def pretrain_ae(model, dataset, y):

FILE: evaluation.py
  function cluster_acc (line 9) | def cluster_acc(y_true, y_pred):
  function eva (line 66) | def eva(y_true, y_pred, epoch=0):

FILE: sdcn.py
  class AE (line 24) | class AE(nn.Module):
    method __init__ (line 26) | def __init__(self, n_enc_1, n_enc_2, n_enc_3, n_dec_1, n_dec_2, n_dec_3,
    method forward (line 39) | def forward(self, x):
  class SDCN (line 53) | class SDCN(nn.Module):
    method __init__ (line 55) | def __init__(self, n_enc_1, n_enc_2, n_enc_3, n_dec_1, n_dec_2, n_dec_3,
    method forward (line 85) | def forward(self, x, adj):
  function target_distribution (line 107) | def target_distribution(q):
  function train_sdcn (line 112) | def train_sdcn(dataset):

FILE: utils.py
  function load_graph (line 8) | def load_graph(dataset, k):
  function normalize (line 35) | def normalize(mx):
  function sparse_mx_to_torch_sparse_tensor (line 45) | def sparse_mx_to_torch_sparse_tensor(sparse_mx):
  class load_data (line 55) | class load_data(Dataset):
    method __init__ (line 56) | def __init__(self, dataset):
    method __len__ (line 60) | def __len__(self):
    method __getitem__ (line 63) | def __getitem__(self, idx):