GitHub - KRR-Oxford/KG_utilities: Simple, makeshift utilities for manipulating knowledge graphs.

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Simple, makeshift utilities for manipulating knowledge graphs.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
__pycache__		__pycache__
.DS_Store		.DS_Store
.calculate_classification_metrics.py.swp		.calculate_classification_metrics.py.swp
.divide_nodepreserving.py.swo		.divide_nodepreserving.py.swo
Hamaguchi_fixer.py		Hamaguchi_fixer.py
anyburl_classification_analyser.py		anyburl_classification_analyser.py
anyburl_hits_analyser.py		anyburl_hits_analyser.py
bulk_anyburl_classification_analyser.py		bulk_anyburl_classification_analyser.py
bulk_anyburl_hits_analyser.py		bulk_anyburl_hits_analyser.py
bulk_calculate_classification_metrics.py		bulk_calculate_classification_metrics.py
bulk_calculate_hits_metrics.py		bulk_calculate_hits_metrics.py
bulk_divide.py		bulk_divide.py
bulk_divide_nodepreserving.py		bulk_divide_nodepreserving.py
bulk_filter_positive_examples.py		bulk_filter_positive_examples.py
bulk_generate_classification_negative_examples.py		bulk_generate_classification_negative_examples.py
bulk_generate_hits_negative_examples.py		bulk_generate_hits_negative_examples.py
bulk_predicate_extractor_MeGaNN.py		bulk_predicate_extractor_MeGaNN.py
bulk_remove_positives.py		bulk_remove_positives.py
bulk_remove_scores.py		bulk_remove_scores.py
calculate_classification_metrics.py		calculate_classification_metrics.py
calculate_hits_metrics.py		calculate_hits_metrics.py
config_reader.py		config_reader.py
constant_extractor.py		constant_extractor.py
converter_nt_to_tab_separated.py		converter_nt_to_tab_separated.py
counter.py		counter.py
create_truths_file.py		create_truths_file.py
create_truths_test.config		create_truths_test.config
create_truths_validation.config		create_truths_validation.config
divide.py		divide.py
divide_nodepreserving.py		divide_nodepreserving.py
divide_validation.config		divide_validation.config
filter_positive_examples.py		filter_positive_examples.py
generate_classification_negative_examples.py		generate_classification_negative_examples.py
generate_hits_negative_examples.py		generate_hits_negative_examples.py
generate_negative_examples_classification_beta.py		generate_negative_examples_classification_beta.py
generate_negative_examples_classification_test_beta.config		generate_negative_examples_classification_test_beta.config
generate_negative_examples_classification_validation_beta.config		generate_negative_examples_classification_validation_beta.config
mass_anyburl_hits_analyser.py		mass_anyburl_hits_analyser.py
mass_divide_nodepreserving.py		mass_divide_nodepreserving.py
mass_generate_negative_examples_classification_beta.py		mass_generate_negative_examples_classification_beta.py
predicate_extractor.py		predicate_extractor.py
predicate_extractor_MeGaNN.py		predicate_extractor_MeGaNN.py
remove_positives.py		remove_positives.py
remove_subsumed_rules.py		remove_subsumed_rules.py
temp_dataset.nt		temp_dataset.nt