Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids.

Martin Ringsquandl|Houssem Sellami|Marcel Hildebrandt|Dagmar Beyer|Sylwia Henselmeyer|Sebastian Weber|Mitchell Joblin


Anthology ID:DBLP:conf/cikm/RingsquandlSHBH21
Volume:CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
Year:2021
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1538-1547
URL:https://doi.org/10.1145/3459637.3482464
DOI:https://doi.org/10.1145/3459637.3482464
DBLP:conf/cikm/RingsquandlSHBH21
BibTeX:
@inproceedings{ringsquandl-2021-power, author = {Martin Ringsquandl and Houssem Sellami and Marcel Hildebrandt and Dagmar Beyer and Sylwia Henselmeyer and Sebastian Weber and Mitchell Joblin}, editor = {Gianluca Demartini and Guido Zuccon and J. Shane Culpepper and Zi Huang and Hanghang Tong}, title = {{Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids}}, booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}}, pages = {1538--1547}, publisher = {ACM}, year = {2021}, url = {https://doi.org/10.1145/3459637.3482464}, doi = {https://doi.org/10.1145/3459637.3482464} }