code: def __init__(self, hidden_channels, act=swish):
      super(EmbeddingBlock, self).__init__()
      self.act = act
      self.emb = Embedding(95, hidden_channels)
      self.reset_parameters()
  
imports: from torch_cluster import radius_graph
  from torch_geometric.nn import GraphConv, GraphNorm
  from torch_geometric.nn import inits
  from torch_scatter import scatter, scatter_min
  from torch.nn import Embedding
  import torch
  from torch import nn
  from torch import Tensor
  import torch.nn.functional
  import math
  from math import sqrt
label_desc: Use image node_id 1 to create a new EmbeddingBlock object from inherited base classes: torch.nn with example: obj = EmbeddingBlock(hidden_channels, act)