code: def process(self):
      g_list, labels = [], []
      self.dynamic = True
      for i in tqdm(range(len(self))):
          g, z, x, weights, y = self[i]
          g.ndata["z"] = z
          if x is not None:
              g.ndata["x"] = x
          if weights is not None:
              g.edata["w"] = weights
          g_list.append(g)
          labels.append(y)
      self.dynamic = False
      return g_list, {"y": torch.tensor(labels)}
  
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 5 for calling the SEALOGBLDataset obj's underlying member method code with example usage: obj.process() and returns: g_list,  dict