docstr: Arxiv_label_embedding_model
          
docstr_tok: ["Arxiv_label_embedding_model"]
code: def __init__(self, gw, hidden_size, num_heads, dropout, num_layers):
      """Arxiv_label_embedding_model"""
      self.gw = gw
      self.hidden_size = hidden_size
      self.num_heads = num_heads
      self.dropout = dropout
      self.num_layers = num_layers
      self.out_size = 40
      self.embed_size = 128
      self.checkpoints = []
      self.build_model()
  
file_path: PGL/ogb_examples/nodeproppred/unimp/model_large.py
imports: import math
  import pgl
  import paddle.fluid
  import paddle.fluid.layers
  from pgl.utils import paddle_helper
  from module.transformer_gat_pgl import transformer_gat_pgl
  from module.model_unimp_large import graph_transformer, linear, attn_appnp
label_desc: Use image node_id 1 to create a new Arxiv_label_embedding_model object  with example: obj = Arxiv_label_embedding_model(gw, hidden_size, num_heads, dropout, num_layers)