SYMBOL INDEX (34 symbols across 4 files)

FILE: layers.py
  class TwoHopNeighborhood (line 14) | class TwoHopNeighborhood(object):
    method __call__ (line 15) | def __call__(self, data):
    method __repr__ (line 37) | def __repr__(self):
  class GCN (line 41) | class GCN(MessagePassing):
    method __init__ (line 42) | def __init__(self, in_channels, out_channels, cached=False, bias=True,...
    method reset_parameters (line 62) | def reset_parameters(self):
    method norm (line 67) | def norm(edge_index, num_nodes, edge_weight, dtype=None):
    method forward (line 78) | def forward(self, x, edge_index, edge_weight=None):
    method message (line 95) | def message(self, x_j, norm):
    method update (line 98) | def update(self, aggr_out):
    method __repr__ (line 103) | def __repr__(self):
  class NodeInformationScore (line 107) | class NodeInformationScore(MessagePassing):
    method __init__ (line 108) | def __init__(self, improved=False, cached=False, **kwargs):
    method norm (line 117) | def norm(edge_index, num_nodes, edge_weight, dtype=None):
    method forward (line 134) | def forward(self, x, edge_index, edge_weight):
    method message (line 149) | def message(self, x_j, norm):
    method update (line 152) | def update(self, aggr_out):
  class HGPSLPool (line 156) | class HGPSLPool(torch.nn.Module):
    method __init__ (line 157) | def __init__(self, in_channels, ratio=0.8, sample=False, sparse=False,...
    method forward (line 173) | def forward(self, x, edge_index, edge_attr, batch=None):

FILE: main.py
  function train (line 56) | def train():
  function compute_test (line 111) | def compute_test(loader):

FILE: models.py
  class Model (line 9) | class Model(torch.nn.Module):
    method __init__ (line 10) | def __init__(self, args):
    method forward (line 34) | def forward(self, data):

FILE: sparse_softmax.py
  function scatter_sort (line 27) | def scatter_sort(x, batch, fill_value=-1e16):
  function _make_ix_like (line 53) | def _make_ix_like(batch):
  function _threshold_and_support (line 61) | def _threshold_and_support(x, batch):
  class SparsemaxFunction (line 88) | class SparsemaxFunction(Function):
    method forward (line 91) | def forward(ctx, x, batch):
    method backward (line 109) | def backward(ctx, grad_output):
  class Sparsemax (line 123) | class Sparsemax(nn.Module):
    method __init__ (line 125) | def __init__(self):
    method forward (line 128) | def forward(self, x, batch):