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A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks., , , , , , и . CoRR, (2020)PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration., , , , , и . HPCA, стр. 108-123. IEEE, (2024)Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation., , , , , , и . IJCAI, стр. 2497-2504. ijcai.org, (2021)Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning., , , , , и . ACM Trans. Design Autom. Electr. Syst., 28 (6): 102:1-102:19 (ноября 2023)Bilinear Map Based One-Time Signature Scheme with Secret Key Exposure., , , , и . IACR Cryptol. ePrint Arch., (2021)Towards Real-Time Temporal Graph Learning., , , , , и . ICCD, стр. 263-271. IEEE, (2022)Towards Sparsification of Graph Neural Networks., , , , , , и . ICCD, стр. 272-279. IEEE, (2022)An Efficient Algorithm for the Construction of Dynamically Updating Trajectory Networks., , и . HPEC, стр. 1-7. IEEE, (2021)MergePath-SpMM: Parallel Sparse Matrix-Matrix Algorithm for Graph Neural Network Acceleration., , , , и . ISPASS, стр. 145-156. IEEE, (2023)Masked Memory Primitive for Key Insulated Schemes., , , , , и . HOST, стр. 293-303. IEEE, (2024)