High-level synthesis performance prediction using GNNs-Reference-Cited by-同舟云学术

High-level synthesis performance prediction using GNNs

Published:2022-07-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th ACM/IEEE Design Automation Conference
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Author:

Wu Nan¹,Yang Hang²,Xie Yuan¹,Li Pan³,Hao Cong²

Affiliation:

1. University of California

2. Georgia Institute of Technology

3. Purdue University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3489517.3530408

Reference34 articles.

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3. Filippo Maria Bianchi etal 2021. Graph neural networks with convolutional arma filters. IEEE TPAMI (2021). Filippo Maria Bianchi et al. 2021. Graph neural networks with convolutional arma filters. IEEE TPAMI (2021).

4. Marc Brockschmidt . 2020 . Gnn-film: Graph neural networks with feature-wise linear modulation. In 2020 ICML. Marc Brockschmidt. 2020. Gnn-film: Graph neural networks with feature-wise linear modulation. In 2020 ICML.

5. Gabriele Corso et al. 2020. Principal neighbourhood aggregation for graph nets. 2020 NeurIPS (2020). Gabriele Corso et al. 2020. Principal neighbourhood aggregation for graph nets. 2020 NeurIPS (2020).

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