builds rosters of teams which maximize a score function.
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Updated
May 13, 2021 - R
builds rosters of teams which maximize a score function.
ExCC
Custom unembedding techniques for quantum annealers
Kernighan-Lin Algorithm implementation in python. Kernighan-Lin Algorithm is a graph partitioning algorithm that optimizes the cut size between two subsets of nodes.
Source code for VLDB2024 - FSM: A Fine-grained Splitting and Merging Framework for Dual-balanced Graph Partition
Space of Optimal Solutions of the Correlation Clustering Problem
Judicious Graph Partitioning
Interpretive Structural Modelling (ISM). Returns a minimum-edge hierarchical digraph following J.N. Warfield's graph partitioning algorithm.
Reconstruction of the map of Avignon during medieval times
Benchmark to study partitioning problems on signed graphs
Assignments done as part of UG Lab course
[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
A simple graph partitioning algorithm written in Go. Designed for use for partitioning neural networks across multiple devices which has an added cost when crossing device boundaries.
R package with quasi-Monte Carlo methods to estimate mixed models commonly used for random effect structures from pedigrees.
The algorithm based on the XOR model (Aref et al. 2019) for computing the exact value of frustration index (also called line index of balance)
Demonstration to solve the Graph Partitioning problem
Julia wrapper for the SCOTCH library
USENIX Security'23: Inductive Graph Unlearning
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