code: def mfunc(self, edges):
      return {"m": edges.src["h"], "ci": edges.src["ci"]}
  
file_path: dgl/benchmarks/benchmarks/model_speed/bench_gcn_udf.py
imports: import time
  import dgl
  import torch
  import torch.nn
  import torch.nn.functional
  from ..None import utils
label_desc: Use image node_id 3 for calling the GraphConv obj's underlying member method code with example usage: obj.mfunc(edges) and returns: dict