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Community-Augmented Local-Link Intensity - a score for anomaly detection in graphs
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AsyDiL
Community-Augmented Local-Link Intensity - a score for anomaly detection in graphs
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a274b275
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a274b275
authored
1 year ago
by
Bogdan Alexandru DUMITRESCU
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Program and data for paper "Community-Augmented Local-Link Intensity: a score for
anomaly detection in graphs", by T.A. Badea, B.Dumitrescu,
submitted to
CoDIT 2023.
This folder contains:
-
main.py: program generating CALLI scores for a graph.
Set syntheticGraph = True/False for synthetic/Libra graph and run.
-
synth_graph_g7.csv - the synthetic graph G7 (described in the paper)
-
Libra_bank_3months_graph.csv - Libra graph
-
synth_graph_g7_calli.csv: CALLI scores for the synthetic graph
-
Libra_bank_3months_graph_calli.csv: CALLI scores for Libra graph
These two files are obtained by running the program.
Copyright: You can use the programs at will, with no guarantee whatsoever.
Please cite the paper if you use these programs.
Program and data for paper "Community-Augmented Local-Link Intensity: a score for
anomaly detection in graphs", by T.A. Badea, B.Dumitrescu,
CoDIT 2023.
This folder contains:
-
main.py: program generating CALLI scores for a graph.
Set syntheticGraph = True/False for synthetic/Libra graph and run.
-
synth_graph_g7.csv - the synthetic graph G7 (described in the paper)
-
Libra_bank_3months_graph.csv - Libra graph
-
synth_graph_g7_calli.csv: CALLI scores for the synthetic graph
-
Libra_bank_3months_graph_calli.csv: CALLI scores for Libra graph
These two files are obtained by running the program.
Copyright: You can use the programs at will, with no guarantee whatsoever.
Please cite the paper if you use these programs.
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