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most citedQuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks

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cs.LG2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations

Zirui Liu, Shengyuan Chen, Kaixiong Zhou +3

The training of graph neural networks (GNNs) is extremely time consuming because sparse graph-based operations are hard to be accelerated by hardware. Prior art explores trading of…