%0 Journal Article %1 schaller2023liquorhgnn %A Schaller, Melanie %A Steininger, Michael %A Dulny, Andrzej %A Schlör, Daniel %A Hotho, Andreas %D 2023 %E Leyer, M. %J LWDA'23: Lernen, Wissen, Daten, Analysen. October 09--11, 2023, Marburg, Germany %K app_physics author:dulny author:hotho author:manli author:schloer author:steiniger flowchief from:manli myown research_representation_learning %T Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks

@article{schaller2023liquorhgnn, added-at = {2023-09-20T03:19:14.000+0200}, author = {Schaller, Melanie and Steininger, Michael and Dulny, Andrzej and Schlör, Daniel and Hotho, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/28d44715512cda45f93c618e60c254adc/dmir}, editor = {Leyer, M.}, interhash = {c0c68a3b671297969c703571ba0d5f29}, intrahash = {8d44715512cda45f93c618e60c254adc}, journal = {LWDA'23: Lernen, Wissen, Daten, Analysen. October 09--11, 2023, Marburg, Germany}, keywords = {app_physics author:dulny author:hotho author:manli author:schloer author:steiniger flowchief from:manli myown research_representation_learning}, month = {Oktober}, timestamp = {2024-01-18T10:31:52.000+0100}, title = {Liquor-HGNN: A heterogeneous graph neural network for leakage detection in water distribution networks}, year = 2023 }