Repository for the code used in the experiments of the paper De Stefani et al. "Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic" -- AAAI 2016
C++ Python Makefile
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Graph.cpp
Graph.h
GraphUtils.cpp
GraphUtils.h
KMeansRank.cpp
KMeansRank.h
Makefile
OutputRankings.cpp
PowerIterationPPR.cpp
PowerIterationPPR.h
README.md
RandomVisit.cpp
RandomVisit.h
RankAggregation.cpp
RankAggregation.h
RankAggregationAvg.cpp
RankAggregationAvg.h
RankDistance.cpp
RankDistance.h
Ranking.cpp
Ranking.h
RunDistanceStat.cpp
RunKMeans.cpp
RunReconstructBeginTest.cpp
average_result.py
make_adversarial_permutation.py
output_perm_model_ap.py
output_perm_model_tau.py
sample_pages_yago.py

README.md

README:

If you use our code please cite our paper:

L. De Stefani, A. Epasto, E. Upfal, F. Vandin , "Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic". In Proceedings of the 30th AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona, USA, 2016

@inproceedings{destefani2016reconstructing, title={Reconstructing Hidden Permutations Using the Average-Precision (AP) Correlation Statistic.}, author={De Stefani, Lorenzo and Epasto, Alessandro and Upfal, Eli and Vandin, Fabio}, booktitle={AAAI}, pages={1526--1532}, year={2016} }