class_docstr: Implement of GPRGNN
class_docstr_tok: ["Implement","of","GPRGNN"]
code: def forward(self, graph, feature):
      feature = self.gpr(graph, feature)
      return feature
  
file_path: PGL/examples/gpr/train.py
imports: import tqdm
  import pgl
  import paddle
  import paddle.nn
  from pgl.utils.logger import log
  import numpy
  import time
  import argparse
  from paddle.optimizer import Adam
label_desc: Use image node_id 2 for calling the GPRGNN obj's underlying member method code with example usage: obj.forward(graph, feature) and returns: feature