问切换到bpmn文件的node2vec方法

EN

 ``
(python
import networkx as nx
from node2vec import Node2Vec
import gensim
import word2vec
# Create a graph
graph ='P1.bpmn'
# Precompute probabilities and generate walks - **ON WINDOWS ONLY WORKS WITH workers=1**
node2vec = Node2Vec(graph, dimensions=64, walk_length=3, num_walks=2, workers=1)  # Use temp_folder for big graphs

# Embed nodes
model = node2vec.fit(window=10, min_count=1, batch_words=4)  # Any keywords acceptable by gensim.Word2Vec can be passed, `diemnsions` and `workers` are automatically passed (from the Node2Vec constructor)


# Save embeddings for later use
model.wv.save_word2vec_format('Random_Walk')

# Save model for later use
model.save('Random_MODEL_Walk') )
 ``