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20182021
most citedRepresentation Learning of Graphs Using Graph Convolutional Multilayer Networks Based on Motifs

3 citations · 4 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.LG2021

Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training

Jingcheng Zhou, Wei Wei, Zhiming Zheng

First-order methods like stochastic gradient descent(SGD) are recently the popular optimization method to train deep neural networks (DNNs), but second-order methods are scarcely u…

cs.LG2021★ 1 cited

Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network

Xing Li, Wei Wei, Xiangnan Feng +1

Graphs are often used to organize data because of their simple topological structure, and therefore play a key role in machine learning. And it turns out that the low-dimensional e…