forked from dmlc/dgl
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathload_dataset.py
50 lines (42 loc) · 1.52 KB
/
load_dataset.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
""" load dataset from ogb """
import argparse
from ogb.linkproppred import DglLinkPropPredDataset
import time
def load_from_ogbl_with_name(name):
choices = ['ogbl-collab', 'ogbl-ddi', 'ogbl-ppa', 'ogbl-citation']
assert name in choices, "name must be selected from " + str(choices)
dataset = DglLinkPropPredDataset(name)
return dataset[0]
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--name', type=str,
choices=['ogbl-collab', 'ogbl-ddi', 'ogbl-ppa', 'ogbl-citation'],
default='ogbl-collab',
help="name of datasets by ogb")
args = parser.parse_args()
print("loading graph... it might take some time")
name = args.name
g = load_from_ogbl_with_name(name=name)
try:
w = g.edata['edge_weight']
weighted = True
except:
weighted = False
edge_num = g.edges()[0].shape[0]
src = list(g.edges()[0])
tgt = list(g.edges()[1])
if weighted:
weight = list(g.edata['edge_weight'])
print("writing...")
start_time = time.time()
with open(name + "-net.txt", "w") as f:
for i in range(edge_num):
if weighted:
f.write(str(src[i].item()) + " "\
+str(tgt[i].item()) + " "\
+str(weight[i].item()) + "\n")
else:
f.write(str(src[i].item()) + " "\
+str(tgt[i].item()) + " "\
+"1\n")
print("writing used time: %d s" % int(time.time() - start_time))