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20202026
most citedAnalysis of Evolutionary Diversity Optimisation for Permutation Problems

19 citations · 39 across the 12 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.DS2023

Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint

Anh Viet Do, Mingyu Guo, Aneta Neumann +1

Finding diverse solutions to optimization problems has been of practical interest for several decades, and recently enjoyed increasing attention in research. While submodular optim…

cs.NE2023★ 1 cited

Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems

Diksha Goel, Aneta Neumann, Frank Neumann +2

We study a Stackelberg game between one attacker and one defender in a configurable environment. The defender picks a specific environment configuration. The attacker observes the…

cs.SI2023★ 1 cited

Discovering Top-k Structural Hole Spanners in Dynamic Networks

Diksha Goel, Hong Shen, Hui Tian +1

Structural Hole (SH) theory states that the node which acts as a connecting link among otherwise disconnected communities gets positional advantages in the network. These nodes are…

cs.DS2023

Limited Query Graph Connectivity Test

Mingyu Guo, Jialiang Li, Aneta Neumann +2

We propose a combinatorial optimisation model called Limited Query Graph Connectivity Test. We consider a graph whose edges have two possible states (On/Off). The edges' states are…

cs.SI2023★ 1 cited

Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse Networks

Diksha Goel, Hong Shen, Hui Tian +1

A Structural Hole Spanner (SHS) is a set of nodes in a network that act as a bridge among different otherwise disconnected communities. Numerous solutions have been proposed to dis…