Skip to content

python 3 compatibility, running for cora initial example #17

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

python 3 compatibility, running for cora initial example #17

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
python 3 compatibility, running for cora initial example
  • Loading branch information
@DonBraulio
DonBraulio committed May 11, 2020
commit 1c538bc915ac005452445dc15a6b83d31ebf7b84
14 changes: 7 additions & 7 deletions graphsage/model.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ def load_cora():
with open("cora/cora.content") as fp:
for i,line in enumerate(fp):
info = line.strip().split()
feat_data[i,:] = map(float, info[1:-1])
feat_data[i,:] = list(map(float, info[1:-1]))
node_map[info[0]] = i
if not info[-1] in label_map:
label_map[info[-1]] = len(label_map)
Expand Down Expand Up @@ -99,11 +99,11 @@ def run_cora():
optimizer.step()
end_time = time.time()
times.append(end_time-start_time)
print batch, loss.data[0]
print(batch, loss.data.item())

val_output = graphsage.forward(val)
print "Validation F1:", f1_score(labels[val], val_output.data.numpy().argmax(axis=1), average="micro")
print "Average batch time:", np.mean(times)
print("Validation F1:", f1_score(labels[val], val_output.data.numpy().argmax(axis=1), average="micro"))
print("Average batch time:", np.mean(times))

def load_pubmed():
#hardcoded for simplicity...
Expand Down Expand Up @@ -171,11 +171,11 @@ def run_pubmed():
optimizer.step()
end_time = time.time()
times.append(end_time-start_time)
print batch, loss.data[0]
print(batch, loss.data.item())

val_output = graphsage.forward(val)
print "Validation F1:", f1_score(labels[val], val_output.data.numpy().argmax(axis=1), average="micro")
print "Average batch time:", np.mean(times)
print("Validation F1:", f1_score(labels[val], val_output.data.numpy().argmax(axis=1), average="micro"))
print("Average batch time:", np.mean(times))

if __name__ == "__main__":
run_cora()