crystal22 / Seq2Graph

Implemention of Seq2Graph architecture from paper by Xuan-Hong Dang, et al. in Pytorch

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Seq2Graph

Implemention of Seq2Graph architecture from paper by Xuan-Hong Dang, et al. in Pytorch. Original paper available at: https://arxiv.org/pdf/1812.04448.pdf

This architecure was used in benchmarking paper by Baric et al. Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions

If you will use this code for your work/research, please cite Barić, D.; Fumić, P.; Horvatić, D.; Lipic, T. Benchmarking Attention-Based Interpretability of Deep Learning in Multivariate Time Series Predictions. Entropy 2021, 23, 143. https://doi.org/10.3390/e23020143 and original seq2graph paper.

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Implemention of Seq2Graph architecture from paper by Xuan-Hong Dang, et al. in Pytorch

License:Apache License 2.0


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