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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,7 @@ embeddings = model.get_embeddings()# get embedding vectors
```python
G = nx.read_edgelist('../data/flight/brazil-airports.edgelist',create_using=nx.DiGraph(),nodetype=None,data=[('weight',int)])#read graph

model = model = Struc2Vec(G, 10, 80, workers=4, verbose=40, ) #init model
model = Struc2Vec(G, 10, 80, workers=4, verbose=40, ) #init model
model.train(window_size = 5, iter = 3)# train model
embeddings = model.get_embeddings()# get embedding vectors
```
19 changes: 6 additions & 13 deletions ge/classify.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
from sklearn.metrics import f1_score, accuracy_score
from sklearn.multiclass import OneVsRestClassifier
from sklearn.preprocessing import MultiLabelBinarizer
import pandas as pd


class TopKRanker(OneVsRestClassifier):
Expand Down Expand Up @@ -69,17 +70,9 @@ def split_train_evaluate(self, X, Y, train_precent, seed=0):


def read_node_label(filename, skip_head=False):
fin = open(filename, 'r')
X = []
Y = []
while 1:
if skip_head:
fin.readline()
l = fin.readline()
if l == '':
break
vec = l.strip().split(' ')
X.append(vec[0])
Y.append(vec[1:])
fin.close()
fin = pd.read_csv(filename)
cols=fin.columns
X = fin[cols[0]]
Y = fin[cols[1]]

return X, Y