Search Results for author: Yuguang Wang

Found 6 papers, 1 papers with code

Spectral Transform Forms Scalable Transformer

1 code implementation15 Nov 2021 Bingxin Zhou, Xinliang Liu, Yuehua Liu, Yunying Huang, Pietro Liò, Yuguang Wang

The architecture is assembled with a few simple effective computational blocks that constitute randomized SVD, MLP, and graph Framelet convolution.

Graph Learning Philosophy

Can neural networks learn persistent homology features?

no code implementations NeurIPS Workshop TDA_and_Beyond 2020 Guido Montúfar, Nina Otter, Yuguang Wang

Topological data analysis uses tools from topology -- the mathematical area that studies shapes -- to create representations of data.

Topological Data Analysis

PAN: Path Integral Based Convolution for Deep Graph Neural Networks

no code implementations24 Apr 2019 Zheng Ma, Ming Li, Yuguang Wang

In this paper, we propose PAN, a new graph convolution framework that involves every path linking the message sender and receiver with learnable weights depending on the path length, which corresponds to the maximal entropy random walk.

A study on effectiveness of extreme learning machine

no code implementations13 Sep 2014 Yuguang Wang, Feilong Cao, Yubo Yuan

Extreme learning machine (ELM), proposed by Huang et al., has been shown a promising learning algorithm for single-hidden layer feedforward neural networks (SLFNs).

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