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references.bib
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references.bib
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@misc{https://doi.org/10.48550/arxiv.1710.10903,
doi = {10.48550/ARXIV.1710.10903},
url = {https://arxiv.org/abs/1710.10903},
author = {Veličković, Petar and Cucurull, Guillem and Casanova, Arantxa and Romero, Adriana and Liò, Pietro and Bengio, Yoshua},
keywords = {Machine Learning (stat.ML), Artificial Intelligence (cs.AI), Machine Learning (cs.LG), Social and Information Networks (cs.SI), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Graph Attention Networks},
publisher = {arXiv},
year = {2017},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@misc{https://doi.org/10.48550/arxiv.1609.02907,
doi = {10.48550/ARXIV.1609.02907},
url = {https://arxiv.org/abs/1609.02907},
author = {Kipf, Thomas N. and Welling, Max},
keywords = {Machine Learning (cs.LG), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Semi-Supervised Classification with Graph Convolutional Networks},
publisher = {arXiv},
year = {2016},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@misc{https://doi.org/10.48550/arxiv.1606.09375,
doi = {10.48550/ARXIV.1606.09375},
url = {https://arxiv.org/abs/1606.09375},
author = {Defferrard, Michaël and Bresson, Xavier and Vandergheynst, Pierre},
keywords = {Machine Learning (cs.LG), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering},
publisher = {arXiv},
year = {2016},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@misc{https://doi.org/10.48550/arxiv.1612.08083,
doi = {10.48550/ARXIV.1612.08083},
url = {https://arxiv.org/abs/1612.08083},
author = {Dauphin, Yann N. and Fan, Angela and Auli, Michael and Grangier, David},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Language Modeling with Gated Convolutional Networks},
publisher = {arXiv},
year = {2016},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@misc{https://doi.org/10.48550/arxiv.1912.09363,
doi = {10.48550/ARXIV.1912.09363},
url = {https://arxiv.org/abs/1912.09363},
author = {Lim, Bryan and Arik, Sercan O. and Loeff, Nicolas and Pfister, Tomas},
keywords = {Machine Learning (stat.ML), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting},
publisher = {arXiv},
year = {2019},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@misc{https://doi.org/10.48550/arxiv.2008.02217,
doi = {10.48550/ARXIV.2008.02217},
url = {https://arxiv.org/abs/2008.02217},
author = {Ramsauer, Hubert and Schäfl, Bernhard and Lehner, Johannes and Seidl, Philipp and Widrich, Michael and Adler, Thomas and Gruber, Lukas and Holzleitner, Markus and Pavlović, Milena and Sandve, Geir Kjetil and Greiff, Victor and Kreil, David and Kopp, Michael and Klambauer, Günter and Brandstetter, Johannes and Hochreiter, Sepp},
keywords = {Neural and Evolutionary Computing (cs.NE), Computation and Language (cs.CL), Machine Learning (cs.LG), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Hopfield Networks is All You Need},
publisher = {arXiv},
year = {2020},
copyright = {arXiv.org perpetual, non-exclusive license}
}
@article{https://doi.org/10.48550/arxiv.1706.02515,
doi = {10.48550/ARXIV.1706.02515},
url = {https://arxiv.org/abs/1706.02515},
author = {Klambauer, Günter and Unterthiner, Thomas and Mayr, Andreas and Hochreiter, Sepp},
keywords = {Machine Learning (cs.LG), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Self-Normalizing Neural Networks},
publisher = {arXiv},
year = {2017},
copyright = {arXiv.org perpetual, non-exclusive license}
}