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Backpropagation Computation for Training Graph Attention Networks

  • Published:2023-10-16 Issue: Volume: Page:
  • ISSN:1939-8018
  • Container-title:Journal of Signal Processing Systems
  • language:en
  • Short-container-title:J Sign Process Syst

Author:

Gould JoeORCID,Parhi Keshab K.

Funder

Division of Computing and Communication Foundations

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Modeling and Simulation,Information Systems,Signal Processing,Theoretical Computer Science,Control and Systems Engineering

Reference28 articles.

1. Cheng, Z., Yan, C., Wu, F. X., & Wang, J. (2022). Drug-target interaction prediction using multi-head self-attention and graph attention network. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(4), 2208–2218. https://doi.org/10.1109/TCBB.2021.3077905. Conference Name: IEEE/ACM Transactions on Computational Biology and Bioinformatics.

2. Yang, Z., Liu, J., Wang, Z., Wang, Y., & Feng, J. (2020). Multi-class metabolic pathway prediction by graph attention-based deep learning method. In: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 126–131. https://doi.org/10.1109/BIBM49941.2020.9313298

3. Zhao, H., Wang, Y., Duan, J., Huang, C., Cao, D., Tong, Y., Xu, B., Bai, J., Tong, J., & Zhang, Q. (2020). Multivariate time-series anomaly detection via graph attention network. In: 2020 IEEE International Conference on Data Mining (ICDM), pp. 841–850. https://doi.org/10.1109/ICDM50108.2020.00093. ISSN: 2374-8486.

4. Zhang, C., James, J. Q., & Liu, Y. (2019). Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting. IEEE Access, 7, 166246–166256. https://doi.org/10.1109/ACCESS.2019.2953888. Conference Name: IEEE Access.

5. Balaji, S. S., & Parhi, K. K. (2023). Classifying Subjects with PFC Lesions from Healthy Controls during Working Memory Encoding via Graph Convolutional Networks. In: 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), pp. 1–4. https://doi.org/10.1109/NER52421.2023.10123793. ISSN: 1948-3554.

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