Benchmark to study partitioning problems on signed graphs
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Updated
Oct 5, 2024 - R
Benchmark to study partitioning problems on signed graphs
Extraction of voting networks
Space of Optimal Solutions of the Correlation Clustering Problem
Multiple Partitioning of Multiplex Signed Networks
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.
Reconstruction of the map of Avignon during medieval times
USENIX Security'23: Inductive Graph Unlearning
A modern Fortran interface to the METIS graph partitioning library
A coding project aimed at exploring new ways of algorithmic learning using evolutionary techniques such as genetic algorithms and crossover
The algorithms for multilevel evaluation of balance in signed directed networks
Julia wrapper for the SCOTCH library
KaHIP -- Karlsruhe HIGH Quality Partitioning.
Source code for VLDB2024 - FSM: A Fine-grained Splitting and Merging Framework for Dual-balanced Graph Partition
Demonstration to solve the Graph Partitioning problem
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
The Kernighan–Lin algorithm is a heuristic algorithm for finding partitions of graphs. The algorithm has important applications in the layout of digital circuits and components in VLSI.
DRL models for graph partitioning and sparse matrix ordering.
[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ACM TKDD
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