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20242026
most citedChallenges, Methods, Data -- a Survey of Machine Learning in Water Distribution Networks

5 citations · 6 across the 5 of their papers we have counts for

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5 papers

cs.LG2026

MeGA-MP: Metric Graph Advection Message Passing -- A Physics-Informed Message Passing Operator for Advection-Dominated Metric Graphs

Janine Strotherm, Luca Hermes, André Artelt +1

Many real-world systems are organized as networks where spatio-temporal dynamics unfold along connections and not discretely between nodes. Examples include utility networks such a…

math.OC2025

Existence and Uniqueness of Physically Correct Hydraulic States in Water Distribution Systems -- A theoretical analysis on the solvability of non-linear systems of equations in the context of water distribution systems

Janine Strotherm, Julian Rolfes, Barbara Hammer

Planning and extension of water distribution systems (WDSs) plays a key role in the development of smart cities, driven by challenges such as urbanization and climate change. In th…

cs.LG2024★ 1 cited

Fairness-Enhancing Ensemble Classification in Water Distribution Networks

Janine Strotherm, Barbara Hammer

As relevant examples such as the future criminal detection software [1] show, fairness of AI-based and social domain affecting decision support tools constitutes an important area…

cs.LG2024★ 5 cited

Challenges, Methods, Data -- a Survey of Machine Learning in Water Distribution Networks

Valerie Vaquet, Fabian Hinder, André Artelt +5

Research on methods for planning and controlling water distribution networks gains increasing relevance as the availability of drinking water will decrease as a consequence of clim…

cs.LG2024

Physics-Informed Graph Neural Networks for Water Distribution Systems

Inaam Ashraf, Janine Strotherm, Luca Hermes +1

Water distribution systems (WDS) are an integral part of critical infrastructure which is pivotal to urban development. As 70% of the world's population will likely live in urban e…