code: def __getitem__(self, idx):
      if not self.dynamic:
          g, y = self.g_list[idx], self.labels[idx]
          x = None if "x" not in g.ndata else g.ndata["x"]
          w = None if "w" not in g.edata else g.eata["w"]
          return g, g.ndata["z"], x, w, y
  
      src, dst = self.links[idx][0].item(), self.links[idx][1].item()
      y = self.labels[idx]
      subg = k_hop_subgraph(
          src, dst, 1, self.graph, self.ratio_per_hop, self.directed
      )
  
      # Remove the link between src and dst.
      direct_links = [[], []]
      for s, t in [(0, 1), (1, 0)]:
          if subg.has_edges_between(s, t):
              direct_links[0].append(s)
              direct_links[1].append(t)
      if len(direct_links[0]):
          subg.remove_edges(subg.edge_ids(*direct_links))
  
      NIDs, EIDs = subg.ndata[dgl.NID], subg.edata[dgl.EID]
  
      z = drnl_node_labeling(subg.adj_external(scipy_fmt="csr"), 0, 1)
      edge_weights = (
          self.edge_weights[EIDs]
          if self.edge_weights is not None
          else None
      )
      x = (
          self.node_features[NIDs]
          if self.node_features is not None
          else None
      )
  
      subg_aug = subg.add_self_loop()
      if edge_weights is not None:
          edge_weights = torch.cat(
              [
                  edge_weights,
                  torch.ones(subg_aug.num_edges() - subg.num_edges()),
              ]
          )
      return subg_aug, z, x, edge_weights, y
  
imports: import argparse
  import datetime
  import os
  import sys
  import time
  import dgl
  import torch
  from dgl.data.utils import load_graphs, save_graphs
  from dgl.dataloading import GraphDataLoader
  from ogb.linkproppred import DglLinkPropPredDataset, Evaluator
  from torch.nn import BCEWithLogitsLoss
  from torch.utils.data import Dataset
  from tqdm import tqdm
  from models import *
  from utils import *
label_desc: Use image node_id 3 for calling the SEALOGBLDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: subg_aug,  z,  x,  edge_weights,  y, g,  g,  x,  w,  y