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I am wondering about how the metrics for the graph classification were calculated. In the paper, Table 2 is labeled at "Accuracy (%)". In both the DGL and pyg versions of this repo, it seems like F1 is calculated but reported as accuracy?
DGL
evaluate_graph_embeddings_using_svm calculates F1 here graph_classification_evaluation returns the return of evaluate_graph_embeddings_using_svm (test_f1) here test_f1 is appended to acc_listhere final_acc is the mean of acc_listhere
pyg
evaluate_graph_embeddings_using_svm calculates F1 here graph_classification_evaluation returns the return of evaluate_graph_embeddings_using_svm (test_f1) here test_f1 is appended to acc_listhere final_acc is the mean of acc_listhere
Is the code in the repo what was used to generate the results in the paper?
I am having trouble replicating some results and wondering if the results in the paper are accuracy or F1.
Thank you
The text was updated successfully, but these errors were encountered:
Hi thanks for the very interesting work.
I am wondering about how the metrics for the graph classification were calculated. In the paper, Table 2 is labeled at "Accuracy (%)". In both the DGL and pyg versions of this repo, it seems like F1 is calculated but reported as accuracy?
DGL
evaluate_graph_embeddings_using_svm
calculates F1 heregraph_classification_evaluation
returns the return ofevaluate_graph_embeddings_using_svm
(test_f1
) heretest_f1
is appended toacc_list
herefinal_acc
is the mean ofacc_list
herepyg
evaluate_graph_embeddings_using_svm
calculates F1 heregraph_classification_evaluation
returns the return ofevaluate_graph_embeddings_using_svm
(test_f1
) heretest_f1
is appended toacc_list
herefinal_acc
is the mean ofacc_list
hereIs the code in the repo what was used to generate the results in the paper?
I am having trouble replicating some results and wondering if the results in the paper are accuracy or F1.
Thank you
The text was updated successfully, but these errors were encountered: