GitHub / acdmammoths / Bavarian-code
Code for the paper "Bavarian: Betweenness Centrality Approximation with Variance-Aware Rademacher Averages", by Chloe Wohlgemuth, Cyrus Cousins, and Matteo Riondato, appearing in ACM KDD'21 and ACM TKDD'23
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PURL: pkg:github/acdmammoths/Bavarian-code
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License: apache-2.0
Language: C++
Size: 76.3 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: about 2 years ago
Topics: betweenness, betweenness-centrality, centrality, centrality-measures, centrality-metrics, rademacher, rademacher-complexity, random-sampling, randomized-algorithms