code: def forward(self, graph, h):
      _, _, _, fn, _, _, _ = lazy_import_networks()
  
      # h contains the node representations computed from the GNN defined
      # in the node classification section (Section 5.1).
      with graph.local_scope():
          graph.ndata["h"] = h
          graph.apply_edges(fn.u_dot_v("h", "h", "score"))
          return graph.edata["score"]
  
imports: from typing import TYPE_CHECKING, Any
  from .None import constants
  import logging
label_desc: Use image node_id 1 for calling the DotProductPredictor obj's underlying member method code with example usage: obj.forward(graph, h) and returns: graph