KEPLER
Source code for TACL paper "KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation".
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Download Latest Version (.zip)- preprocess.cpython-36.pyc
- data_utils_fast.cpython-36m-x86_64-linux-gnu.so
- token_block_utils_fast.cpython-36m-x86_64-linux-gnu.so
- libbleu.cpython-36m-x86_64-linux-gnu.so
- libbleu.o
- module.o
- data_utils_fast.o
- token_block_utils_fast.o
- theme_overrides.css
- command_line_tools.rst
- conf.py
- criterions.rst
- data.rst
- docutils.conf
- getting_started.rst
- index.rst
- lr_scheduler.rst
- make.bat
- Makefile
- models.rst
- modules.rst
- optim.rst
- overview.rst
- requirements.txt
- tasks.rst
- tutorial_classifying_names.rst
- tutorial_simple_lstm.rst
- __init__.cpython-36.pyc
- README.md
- README.md
- README.md
- CoLA.sh
- MNLI.sh
- MRPC.sh
- QNLI.sh
- QQP.sh
- RTE.sh
- SST-2.sh
- STS-B.sh
- evaluate_transe_inductive.py
- evaluate_transe_transductive.py
- generate_embeddings.py
- input.txt
- sample_text.txt
- test_sentencepiece.model
- __init__.py
- configuration_common_test.py
- conftest.py
- modeling_auto_test.py
- modeling_bert_test.py
- modeling_common_test.py
- modeling_distilbert_test.py
- modeling_gpt2_test.py
- modeling_openai_test.py
- modeling_roberta_test.py
- modeling_transfo_xl_test.py
- modeling_xlm_test.py
- modeling_xlnet_test.py
- optimization_test.py
- tokenization_auto_test.py
- tokenization_bert_test.py
- tokenization_dilbert_test.py
- tokenization_gpt2_test.py
- tokenization_openai_test.py
- tokenization_roberta_test.py
- tokenization_tests_commons.py
- tokenization_transfo_xl_test.py
- tokenization_utils_test.py
- tokenization_xlm_test.py
- tokenization_xlnet_test.py
- __init__.py
- __main__.py
- configuration_auto.py
- configuration_bert.py
- configuration_distilbert.py
- configuration_gpt2.py
- configuration_openai.py
- configuration_roberta.py
- configuration_transfo_xl.py
- configuration_utils.py
- configuration_xlm.py
- configuration_xlnet.py
- convert_gpt2_checkpoint_to_pytorch.py
- convert_openai_checkpoint_to_pytorch.py
- convert_pytorch_checkpoint_to_tf.py
- convert_roberta_checkpoint_to_pytorch.py
- convert_tf_checkpoint_to_pytorch.py
- convert_transfo_xl_checkpoint_to_pytorch.py
- convert_xlm_checkpoint_to_pytorch.py
- convert_xlnet_checkpoint_to_pytorch.py
- file_utils.py
- modeling_auto.py
- modeling_bert.py
- modeling_distilbert.py
- modeling_gpt2.py
- modeling_openai.py
- modeling_roberta.py
- modeling_transfo_xl.py
- modeling_transfo_xl_utilities.py
- modeling_utils.py
- modeling_xlm.py
- modeling_xlnet.py
- optimization.py
- tokenization_auto.py
- tokenization_bert.py
- tokenization_distilbert.py
- tokenization_gpt2.py
- tokenization_openai.py
- tokenization_roberta.py
- tokenization_transfo_xl.py
- tokenization_utils.py
- tokenization_xlm.py
- tokenization_xlnet.py
- run_openentity.sh
- run_typing.py
- utils_glue.py
- convert.py
- KGpreprocess.py
- splitDump.py
- TACRED.sh
- README.md
- README.md
- README.md
- __init__.cpython-36.pyc
- rerank_options.cpython-36.pyc
- __init__.py
- README.md
- rerank.py
- rerank_generate.py
- rerank_options.py
- rerank_score_bw.py
- rerank_score_lm.py
- rerank_tune.py
- rerank_utils.py
- README.md
- multiprocessing_bpe_encoder.cpython-36.pyc
- __init__.py
- commonsense_qa_task.py
- download_cqa_data.sh
- README.md
- __init__.py
- README.md
- wsc_criterion.py
- wsc_task.py
- wsc_utils.py
- multiprocessing_bpe_encoder.py
- preprocess_GLUE_tasks.sh
- preprocess_RACE.py
- preprocess_RACE.sh
- README.custom_classification.md
- README.glue.md
- README.md
- README.pretraining.md
- README.race.md
- README.md
- __init__.py
- cross_entropy_acc.py
- __init__.py
- asr_dataset.py
- collaters.py
- data_utils.py
- asr_prep_json.py
- prepare-librispeech.sh
- __init__.py
- vggtransformer.py
- __init__.py
- speech_recognition.py
- __init__.py
- infer.py
- README.md
- README.md
- prepare-iwslt14.sh
- prepare-iwslt17-multilingual.sh
- prepare-wmt14en2de.sh
- prepare-wmt14en2fr.sh
- README.md
- README.md
- score.py
- README.md
- README.md
- .DS_Store
- .gitignore
- __init__.py
- __init__.cpython-36.pyc
- binarizer.cpython-36.pyc
- checkpoint_utils.cpython-36.pyc
- distributed_utils.cpython-36.pyc
- file_utils.cpython-36.pyc
- hub_utils.cpython-36.pyc
- legacy_distributed_data_parallel.cpython-36.pyc
- meters.cpython-36.pyc
- options.cpython-36.pyc
- pdb.cpython-36.pyc
- registry.cpython-36.pyc
- search.cpython-36.pyc
- sequence_generator.cpython-36.pyc
- tokenizer.cpython-36.pyc
- utils.cpython-36.pyc
- libbleu.cpp
- module.cpp
- __init__.cpython-36.pyc
- adaptive_loss.cpython-36.pyc
- binary_cross_entropy.cpython-36.pyc
- composite_loss.cpython-36.pyc
- cross_entropy.cpython-36.pyc
- fairseq_criterion.cpython-36.pyc
- label_smoothed_cross_entropy.cpython-36.pyc
- legacy_masked_lm.cpython-36.pyc
- masked_lm.cpython-36.pyc
- MLMetKE.cpython-36.pyc
- only_ke.cpython-36.pyc
- relation_extraction.cpython-36.pyc
- sentence_prediction.cpython-36.pyc
- sentence_prediction_debug.cpython-36.pyc
- sentence_ranking.cpython-36.pyc
- __init__.py
- adaptive_loss.py
- binary_cross_entropy.py
- composite_loss.py
- cross_entropy.py
- fairseq_criterion.py
- label_smoothed_cross_entropy.py
- legacy_masked_lm.py
- masked_lm.py
- MLMetKE.py
- only_ke.py
- relation_extraction.py
- sentence_prediction.py
- sentence_prediction_debug.py
- sentence_ranking.py
- __init__.cpython-36.pyc
- backtranslation_dataset.cpython-36.pyc
- base_wrapper_dataset.cpython-36.pyc
- concat_dataset.cpython-36.pyc
- concat_sentences_dataset.cpython-36.pyc
- data_utils.cpython-36.pyc
- dictionary.cpython-36.pyc
- fairseq_dataset.cpython-36.pyc
- fake_numel_dataset.cpython-36.pyc
- id_dataset.cpython-36.pyc
- indexed_dataset.cpython-36.pyc
- iterators.cpython-36.pyc
- ke_dataset.cpython-36.pyc
- ke_negative_dataset.cpython-36.pyc
- language_pair_dataset.cpython-36.pyc
- list_dataset.cpython-36.pyc
- lm_context_window_dataset.cpython-36.pyc
- lru_cache_dataset.cpython-36.pyc
- mask_tokens_dataset.cpython-36.pyc
- monolingual_dataset.cpython-36.pyc
- multi_corpus_sampled_dataset.cpython-36.pyc
- nested_dictionary_dataset.cpython-36.pyc
- noising.cpython-36.pyc
- num_samples_dataset.cpython-36.pyc
- numel_dataset.cpython-36.pyc
- offset_tokens_dataset.cpython-36.pyc
- pad_dataset.cpython-36.pyc
- plasma_utils.cpython-36.pyc
- prepend_dataset.cpython-36.pyc
- prepend_token_dataset.cpython-36.pyc
- raw_label_dataset.cpython-36.pyc
- replace_dataset.cpython-36.pyc
- round_robin_zip_datasets.cpython-36.pyc
- sharded_dataset.cpython-36.pyc
- sort_dataset.cpython-36.pyc
- strip_token_dataset.cpython-36.pyc
- subsample_dataset.cpython-36.pyc
- token_block_dataset.cpython-36.pyc
- transform_eos_dataset.cpython-36.pyc
- transform_eos_lang_pair_dataset.cpython-36.pyc
- truncate_dataset.cpython-36.pyc
- __init__.cpython-36.pyc
- raw_audio_dataset.cpython-36.pyc
- __init__.py
- raw_audio_dataset.py
- __init__.cpython-36.pyc
- fastbpe.cpython-36.pyc
- gpt2_bpe.cpython-36.pyc
- gpt2_bpe_utils.cpython-36.pyc
- hf_bert_bpe.cpython-36.pyc
- moses_tokenizer.cpython-36.pyc
- nltk_tokenizer.cpython-36.pyc
- sentencepiece_bpe.cpython-36.pyc
- space_tokenizer.cpython-36.pyc
- subword_nmt_bpe.cpython-36.pyc
- __init__.py
- fastbpe.py
- gpt2_bpe.py
- gpt2_bpe_utils.py
- hf_bert_bpe.py
- moses_tokenizer.py
- nltk_tokenizer.py
- sentencepiece_bpe.py
- space_tokenizer.py
- subword_nmt_bpe.py
- __init__.cpython-36.pyc
- block_pair_dataset.cpython-36.pyc
- masked_lm_dataset.cpython-36.pyc
- masked_lm_dictionary.cpython-36.pyc
- __init__.py
- block_pair_dataset.py
- masked_lm_dataset.py
- masked_lm_dictionary.py
- __init__.py
- backtranslation_dataset.py
- base_wrapper_dataset.py
- concat_dataset.py
- concat_sentences_dataset.py
- data_utils.py
- data_utils_fast.cpp
- data_utils_fast.cpython-36m-x86_64-linux-gnu.so
- data_utils_fast.pyx
- dictionary.py
- fairseq_dataset.py
- fake_numel_dataset.py
- id_dataset.py
- indexed_dataset.py
- iterators.py
- ke_dataset.py
- ke_negative_dataset.py
- language_pair_dataset.py
- list_dataset.py
- lm_context_window_dataset.py
- lru_cache_dataset.py
- mask_tokens_dataset.py
- monolingual_dataset.py
- multi_corpus_sampled_dataset.py
- nested_dictionary_dataset.py
- noising.py
- num_samples_dataset.py
- numel_dataset.py
- offset_tokens_dataset.py
- pad_dataset.py
- plasma_utils.py
- prepend_dataset.py
- prepend_token_dataset.py
- raw_label_dataset.py
- replace_dataset.py
- round_robin_zip_datasets.py
- sharded_dataset.py
- sort_dataset.py
- strip_token_dataset.py
- subsample_dataset.py
- token_block_dataset.py
- token_block_utils_fast.c
- token_block_utils_fast.cpython-36m-x86_64-linux-gnu.so
- token_block_utils_fast.pyx
- transform_eos_dataset.py
- transform_eos_lang_pair_dataset.py
- truncate_dataset.py
- __init__.cpython-36.pyc
- composite_encoder.cpython-36.pyc
- distributed_fairseq_model.cpython-36.pyc
- fairseq_decoder.cpython-36.pyc
- fairseq_encoder.cpython-36.pyc
- fairseq_incremental_decoder.cpython-36.pyc
- fairseq_model.cpython-36.pyc
- fconv.cpython-36.pyc
- fconv_lm.cpython-36.pyc
- fconv_self_att.cpython-36.pyc
- lightconv.cpython-36.pyc
- lightconv_lm.cpython-36.pyc
- lstm.cpython-36.pyc
- masked_lm.cpython-36.pyc
- multilingual_transformer.cpython-36.pyc
- transformer.cpython-36.pyc
- transformer_from_pretrained_xlm.cpython-36.pyc
- transformer_lm.cpython-36.pyc
- wav2vec.cpython-36.pyc
- __init__.cpython-36.pyc
- hub_interface.cpython-36.pyc
- model.cpython-36.pyc
- __init__.py
- alignment_utils.py
- hub_interface.py
- model.py
- .DS_Store
- __init__.py
- composite_encoder.py
- distributed_fairseq_model.py
- fairseq_decoder.py
- fairseq_encoder.py
- fairseq_incremental_decoder.py
- fairseq_model.py
- fconv.py
- fconv_lm.py
- fconv_self_att.py
- lightconv.py
- lightconv_lm.py
- lstm.py
- masked_lm.py
- multilingual_transformer.py
- transformer.py
- transformer_from_pretrained_xlm.py
- transformer_lm.py
- wav2vec.py
- __init__.cpython-36.pyc
- adaptive_input.cpython-36.pyc
- adaptive_softmax.cpython-36.pyc
- beamable_mm.cpython-36.pyc
- character_token_embedder.cpython-36.pyc
- conv_tbc.cpython-36.pyc
- downsampled_multihead_attention.cpython-36.pyc
- dynamic_convolution.cpython-36.pyc
- gelu.cpython-36.pyc
- grad_multiply.cpython-36.pyc
- highway.cpython-36.pyc
- layer_norm.cpython-36.pyc
- learned_positional_embedding.cpython-36.pyc
- lightweight_convolution.cpython-36.pyc
- linearized_convolution.cpython-36.pyc
- logsumexp_moe.cpython-36.pyc
- mean_pool_gating_network.cpython-36.pyc
- multihead_attention.cpython-36.pyc
- positional_embedding.cpython-36.pyc
- scalar_bias.cpython-36.pyc
- sinusoidal_positional_embedding.cpython-36.pyc
- transformer_layer.cpython-36.pyc
- transformer_sentence_encoder.cpython-36.pyc
- transformer_sentence_encoder_layer.cpython-36.pyc
- unfold.cpython-36.pyc
- vggblock.cpython-36.pyc
- __init__.py
- cuda_function_gen.py
- dynamicconv_cuda.cpp
- dynamicconv_cuda.cuh
- dynamicconv_cuda_kernel.cu
- dynamicconv_layer.py
- dynamiconv_cpu.cpp
- setup.py
- __init__.py
- cuda_function_gen.py
- lightconv_cuda.cpp
- lightconv_cuda.cuh
- lightconv_cuda_kernel.cu
- lightconv_layer.py
- setup.py
- __init__.py
- adaptive_input.py
- adaptive_softmax.py
- beamable_mm.py
- character_token_embedder.py
- conv_tbc.py
- cuda_utils.cu
- downsampled_multihead_attention.py
- dynamic_convolution.py
- gelu.py
- grad_multiply.py
- highway.py
- layer_norm.py
- learned_positional_embedding.py
- lightweight_convolution.py
- linearized_convolution.py
- logsumexp_moe.py
- mean_pool_gating_network.py
- multihead_attention.py
- positional_embedding.py
- scalar_bias.py
- sinusoidal_positional_embedding.py
- sparse_multihead_attention.py
- sparse_transformer_sentence_encoder.py
- sparse_transformer_sentence_encoder_layer.py
- transformer_layer.py
- transformer_sentence_encoder.py
- transformer_sentence_encoder_layer.py
- unfold.py
- vggblock.py
- __init__.cpython-36.pyc
- adadelta.cpython-36.pyc
- adafactor.cpython-36.pyc
- adagrad.cpython-36.pyc
- adam.cpython-36.pyc
- adamax.cpython-36.pyc
- bmuf.cpython-36.pyc
- fairseq_optimizer.cpython-36.pyc
- fp16_optimizer.cpython-36.pyc
- nag.cpython-36.pyc
- sgd.cpython-36.pyc
- __init__.cpython-36.pyc
- cosine_lr_scheduler.cpython-36.pyc
- fairseq_lr_scheduler.cpython-36.pyc
- fixed_schedule.cpython-36.pyc
- inverse_square_root_schedule.cpython-36.pyc
- polynomial_decay_schedule.cpython-36.pyc
- reduce_lr_on_plateau.cpython-36.pyc
- tri_stage_lr_scheduler.cpython-36.pyc
- triangular_lr_scheduler.cpython-36.pyc
- __init__.py
- cosine_lr_scheduler.py
- fairseq_lr_scheduler.py
- fixed_schedule.py
- inverse_square_root_schedule.py
- polynomial_decay_schedule.py
- reduce_lr_on_plateau.py
- tri_stage_lr_scheduler.py
- triangular_lr_scheduler.py
- __init__.py
- adadelta.py
- adafactor.py
- adagrad.py
- adam.py
- adamax.py
- bmuf.py
- fairseq_optimizer.py
- fp16_optimizer.py
- nag.py
- sgd.py
- __init__.cpython-36.pyc
- audio_pretraining.cpython-36.pyc
- cross_lingual_lm.cpython-36.pyc
- fairseq_task.cpython-36.pyc
- language_modeling.cpython-36.pyc
- legacy_masked_lm.cpython-36.pyc
- masked_lm.cpython-36.pyc
- MLMetKE.cpython-36.pyc
- multilingual_translation.cpython-36.pyc
- semisupervised_translation.cpython-36.pyc
- sentence_prediction.cpython-36.pyc
- sentence_ranking.cpython-36.pyc
- tacred_task.cpython-36.pyc
- translation.cpython-36.pyc
- translation_from_pretrained_xlm.cpython-36.pyc
- translation_moe.cpython-36.pyc
- __init__.py
- audio_pretraining.py
- cross_lingual_lm.py
- fairseq_task.py
- language_modeling.py
- legacy_masked_lm.py
- masked_lm.py
- MLMetKE.py
- multilingual_translation.py
- semisupervised_translation.py
- sentence_prediction.py
- sentence_ranking.py
- tacred_task.py
- translation.py
- translation_from_pretrained_xlm.py
- translation_moe.py
- .DS_Store
- __init__.py
- binarizer.py
- bleu.py
- checkpoint_utils.py
- distributed_utils.py
- file_utils.py
- hub_utils.py
- legacy_distributed_data_parallel.py
- libbleu.cpython-36m-x86_64-linux-gnu.so
- meters.py
- options.py
- pdb.py
- progress_bar.py
- registry.py
- search.py
- sequence_generator.py
- sequence_scorer.py
- tokenizer.py
- trainer.py
- utils.py
- dependency_links.txt
- entry_points.txt
- not-zip-safe
- PKG-INFO
- requires.txt
- SOURCES.txt
- top_level.txt
- __init__.cpython-36.pyc
- preprocess.cpython-36.pyc
- __init__.py
- eval_lm.py
- generate.py
- interactive.py
- preprocess.py
- score.py
- setup.py
- train.py
- favicon.ico
- logo.png
- imagenet_hierarchy.gif
- mnist_3d.gif
- graph.png
- knowledge_graph.png
- visualization.png
- FindGFlags.cmake
- FindGlog.cmake
- FindPythonLibsNew.cmake
- build.sh
- meta.yaml
- build.sh
- meta.yaml
- conda_build_config.yaml
- requirements.txt
- math.yaml
- quick_start.yaml
- deepwalk_flickr.yaml
- deepwalk_friendster-small.yaml
- deepwalk_friendster.yaml
- deepwalk_hyperlink-pld.yaml
- deepwalk_youtube.yaml
- line_flickr.yaml
- line_friendster-small.yaml
- line_friendster.yaml
- line_hyperlink-pld.yaml
- line_youtube.yaml
- node2vec_youtube.yaml
- complex_fb15k-237.yaml
- complex_fb15k.yaml
- complex_wikidata5m.yaml
- complex_wn18.yaml
- complex_wn18rr.yaml
- distmult_fb15k-237.yaml
- distmult_fb15k.yaml
- distmult_wikidata5m.yaml
- distmult_wn18.yaml
- distmult_wn18rr.yaml
- rotate_fb15k-237.yaml
- rotate_fb15k.yaml
- rotate_wikidata5m.yaml
- rotate_wn18.yaml
- rotate_wn18rr.yaml
- simple_fb15k-237.yaml
- simple_fb15k.yaml
- simple_wikidata5m.yaml
- simple_wn18.yaml
- simple_wn18rr.yaml
- transe_fb15k-237.yaml
- transe_fb15k.yaml
- transe_wikidata5m.yaml
- transe_wn18.yaml
- transe_wn18rr.yaml
- graph.yaml
- knowledge_graph.yaml
- visualization.yaml
- word_graph.yaml
- largevis_imagenet.yaml
- largevis_mnist_2d.yaml
- largevis_mnist_3d.yaml
- line_wikipedia.yaml
- application.rst
- dataset.rst
- graph.rst
- optimizer.rst
- solver.rst
- framework.rst
- model.rst
- routine.rst
- solver.rst
- auto.rst
- command_line.rst
- configuration.rst
- format.rst
- python.rst
- benchmark.rst
- conf.py
- faq.rst
- index.rst
- install.rst
- introduction.rst
- link.rst
- overview.rst
- pretrained_model.rst
- quick_start.rst
- Makefile
- .gitignore
- alias_table.cuh
- memory.h
- vector.h
- graph.h
- optimizer.h
- solver.h
- common.h
- debug.h
- gpu.cuh
- io.h
- math.h
- time.h
- bind.h
- __init__.py
- application.py
- network.py
- __init__.py
- base.py
- cmd.py
- dataset.py
- graph.py
- helper.py
- optimizer.py
- solver.py
- util.py
- setup.py
- CMakeLists.txt
- graphvite.cu
- .gitignore
- CHANGELOG.md
- CMakeLists.txt
- LICENSE
- README.md
- evaluate_transe_inductive.py
- evaluate_transe_transductive.py
- __init__.py
- average_checkpoints.py
- build_sym_alignment.py
- compare_namespaces.py
- compound_split_bleu.sh
- convert_dictionary.lua
- convert_model.lua
- count_docs.py
- read_binarized.py
- rm_pt.py
- sacrebleu_pregen.sh
- shard_docs.py
- split_train_valid_docs.py
- spm_decode.py
- spm_encode.py
- spm_train.py
- wav2vec_featurize.py
- wav2vec_manifest.py
- __init__.py
- asr_test_base.py
- test_collaters.py
- test_cross_entropy.py
- test_vggtransformer.py
- __init__.py
- test_average_checkpoints.py
- test_backtranslation_dataset.py
- test_binaries.py
- test_character_token_embedder.py
- test_concat_dataset.py
- test_convtbc.py
- test_dictionary.py
- test_iterators.py
- test_label_smoothing.py
- test_memory_efficient_fp16.py
- test_multi_corpus_sampled_dataset.py
- test_noising.py
- test_reproducibility.py
- test_sequence_generator.py
- test_sequence_scorer.py
- test_sparse_multihead_attention.py
- test_token_block_dataset.py
- test_train.py
- test_utils.py
- utils.py
- CODE_OF_CONDUCT.md
- eval_lm.py
- fairseq.gif
- fairseq_logo.png
- fairseqREADME.md
- generate.py
- hubconf.py
- interactive.py
- LICENSE
- preprocess.py
- README.md
- score.py
- setup.py
- train.py
- validate.py
# Installation Guide
1. Get the code
git clone https://github.com/THU-KEG/KEPLER
Downloads the entire project code from GitHub to your computer.
cd KEPLER
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install cython
Installs the package published on PyPI directly β no need to clone the source.
pip install --editable .
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. CMake
MediumPrerequisites
cd graphvite
This project's files live in a subfolder, so move into it first.
mkdir build && cd build
Creates a folder to hold the build output and moves into it.
cmake ..
Analyzes the source code and generates build configuration files (must be run inside the build folder).
make
Compiles the code based on the generated build configuration to produce an executable.
Check that an executable was created inside the build folder, then run it directly (e.g. ./build/app_name).
4. Python
EasyPrerequisites
pip install cython
Installs the package published on PyPI directly β no need to clone the source.
pip install --editable .
Installs the package published on PyPI directly β no need to clone the source.
python -m examples.roberta.multiprocessing_bpe_encoder \
Runs the Python script (or module).
fairseq-preprocess \ #if fairseq-preprocess cannot be founded, use "python -m fairseq_cli.preprocess" instead
Runs the Python script (or module).
python -m transformers.convert_roberta_original_pytorch_checkpoint_to_pytorch \
Runs the Python script (or module).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
5. Make
MediumPrerequisites
- Git Needed to download the project code from GitHub.
- Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
β οΈ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
cd graphvite/doc
This project's files live in a subfolder, so move into it first.
make
Compiles the code based on the generated build configuration to produce an executable.
If it finishes without errors, it worked. Try running the generated executable directly.
// repository documentation
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