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20172021
most citedRipple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network

12 citations · 18 across the 6 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.NE2019

BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

For various optimization methods, gradient descent-based algorithms can achieve outstanding performance and have been widely used in various tasks. Among those commonly used algori…

cs.LG2019★ 1 cited

DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization

Jiyang Bai, Yuxiang Ren, Jiawei Zhang

Optimization algorithms with momentum, e.g., (ADAM), have been widely used for building deep learning models due to the faster convergence rates compared with stochastic gradient d…