class_docstr: Projects each input feature of the graph linearly and sums them up
class_docstr_tok: ["Projects","each","input","feature","of","the","graph","linearly","and","sums","them","up"]
code: def __init__(self, full_graph, ntype, textset, hidden_dims):
      super().__init__()
  
      self.ntype = ntype
      self.inputs = _init_input_modules(
          full_graph, ntype, textset, hidden_dims
      )
  
imports: import argparse
  import pickle
  import time
  import dgl
  import dgl.function
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.data import DataLoader, IterableDataset
  from ..None import utils
label_desc: Use image node_id 1 to create a new LinearProjector object from inherited base classes: nn with example: obj = LinearProjector(full_graph, ntype, textset, hidden_dims)