GitHub - Dntls/DBLP: multi-label classification on DBLP dataset with DeepWalk algorithm to extract latent dimension

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multi-label classification on DBLP dataset with DeepWalk algorithm to extract latent dimension

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
data		data
period		period
test		test
time		time
web		web
webcrawler		webcrawler
README		README
build_authors_dict.py		build_authors_dict.py
build_interests_dict.py		build_interests_dict.py
combine_features.py		combine_features.py
create_edgelist.py		create_edgelist.py
evaluate_m3l.py		evaluate_m3l.py
evaluate_mf.py		evaluate_mf.py
extractByYear.py		extractByYear.py
extractInProceedings.py		extractInProceedings.py
generate_M3L_data.py		generate_M3L_data.py
latentDim.py		latentDim.py
matrix_completion.py		matrix_completion.py
translate_output.py		translate_output.py

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Files Description & Execution Order:
1. extractInProceedings.py     :  extract all inproceedings from dblp.xml to data/2014/2014inproceedings.xml
2. extractByYear.py            :  extract inproceedings from data/2014/2014inproceedings.xml by year
3. build_authors_dict.py       :
4. create_edgelist.py          :
5. latentDim.py                :

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