Routing Congestion Prediction in VLSI Design Using Graph Neural Networks-Reference-Cited by-同舟云学术

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Routing Congestion Prediction in VLSI Design Using Graph Neural Networks

Published:2024-03-27 Issue: Volume:35 Page:1-4
ISSN:
Container-title:2024 26th International Conference on Digital Signal Processing and its Applications (DSPA)
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Author:

Saibodalov Marat¹,Karandashev Iakov¹,Sokhova Zarema²,Kocheva Elizaveta²,Zheludkov Nikita²

Affiliation:

1. SRISA RAS RUDN University,Moscow,Russia

2. SRISA RAS,Moscow,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10510016/10510018/10510092.pdf?arnumber=10510092

Reference10 articles.

1. Fast and Accurate Routing Demand Estimation for Efficient Routability-driven Placement

2. CongestionNet: Routing Congestion Prediction Using Deep Graph Neural Networks

3. Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction

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