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New research paper got accepted at TIME 2023
With the article Time-aware Robustness of Temporal Graph Neural Networks for Link Prediction, Marco Sälzer and Silvia…Podcast with Prof. Dr. Bernhard Sick
Recently, Log16, a student podcast at the University of Kassel, interviewed Prof. Dr. rer. nat. Bernhard Sick. In this,…Another journal article published in Energy and AI
Malte Lehna, Jan Viebahn, Antoine Marot, Sven Tomforde, and Christoph Scholz wrote an article entitled Managing power…New published journal article in Energy and AI
The article Power flow forecasts at transmission grid nodes using Graph Neural Networks, written by Dominik Beinert,…GAIN Workshop: Explainability and Applicability of Graph Neural Networks from the 6th to the 8th of September 2023
Dear everyone! The GAIN group is happy to announce their next workshop about the Explainability and Applicability of…New accepted survey article in Transactions on Machine Learning Research
The survey paper, entitled Graph Neural Networks Designed for Different Graph Types: A Survey, has been accepted for…Silvia Beddar-Wiesing Receives Best Poster Presentation Award at IDA2023 Conference for Innovative Graph Embedding Research
Congratulations to Silvia Beddar-Wiesing on receiving the Best Poster Presentation Award at the IDA2023 Conference in…New conference articles got accepted at IEEE Intelligent Vehicles Symposium (IV)
Authors: Hannes Reichert, Manuel Hetzel, Steven Schreck, Konrad Doll and Bernhard Sick Paper: Sensor Equivariance by…New Journal Article in Scientific Reports (Nature)
The journal article "Reconstruction of incomplete {X}-ray diffraction pole figures of oligocrystalline materials using…Participation in the Girls Day 2023
What do ants have to do with computer science? This question will be explored by female students between 5th - 7th…