Higher-order explanations of graph neural networks via relevant walks T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ... arXiv preprint arXiv:2006.03589, 2020 | 35 | 2020 |
Self-attentive, multi-context one-class classification for unsupervised anomaly detection on text L Ruff, Y Zemlyanskiy, R Vandermeulen, T Schnake, M Kloft Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 32 | 2019 |
XAI for graphs: explaining graph neural network predictions by identifying relevant walks T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ... | 26 | 2020 |
XAI for transformers: better explanations through conservative propagation A Ali, T Schnake, O Eberle, G Montavon, KR Müller, L Wolf arXiv preprint arXiv:2202.07304, 2022 | 3 | 2022 |
Synthesis of High-Resolution Load Profiles with Minimal Data T Schnake, D Bauer arXiv preprint arXiv:1903.06625, 2019 | | 2019 |