code: def forward(self, x, edge, size):
      edge_csc = CuGraphSAGEConv.to_csc(edge, (size[0], size[0]))
      for conv in self.convs:
          x = conv(x, edge_csc)[: size[1]]
          x = F.relu(x)
          x = F.dropout(x, p=0.5)
  
      return self.lin(x)
  
imports: from ogb.nodeproppred import NodePropPredDataset
  import time
  import argparse
  import gc
  import torch
  import numpy
  from torch_geometric.nn import CuGraphSAGEConv
  import torch.nn
  import torch.nn.functional
  import torch.distributed
  import torch.multiprocessing
  from torch.nn.parallel import DistributedDataParallel
  from typing import List
label_desc: Use image node_id 2 for calling the CuGraphSAGE obj's underlying member method code with example usage: obj.forward(x, edge, size) and returns: self