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20112026
most citedA Comprehensive Survey on Deep Graph Representation Learning

337 citations

Showing 2020Show all

7 papers · 1 filter

math.CV2020★ 1 cited

Mapping properties of the zero-balanced hypergeometric functions

Li-Mei Wang

In the present paper, the order of convexity of z\Gauss(a,b;c;z) is first given under some conditions on the positive real parameters a, b and c. Then we show that the image domain…

cs.SI2020

Does "Fans Economy" Work for Chinese Pop Music Industry?

Hao Wang

China has become one of the largest entertainment markets in the world in recent years. Due to the success of Xiaomi, many Chinese pop music industry entrepreneurs believe "Fans Ec…

math.CV2020★ 3 cited

On the order of convexity for the shifted hypergeometric functions

Li-Mei Wang

In the present paper, we study the order of convexity of $z\Gauss(a,b;c;z)$ with real parameters and where $\Gauss(a,b;c;z)$ is the Gaussian hypergeometric function. Fir…

math.OC2020

On quotients of Boolean control networks

Rui Li, Qi Zhang, Tianguang Chu

In this paper, we focus on the study of quotients of Boolean control networks (BCNs) with the motivation that they might serve as smaller models that still carry enough information…

eess.SP2020★ 1 cited

On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction

Christoph Muehlmann, Klaus Nordhausen, Mengxi Yi

Multivariate measurements taken at irregularly sampled locations are a common form of data, for example in geochemical analysis of soil. In practical considerations predictions of…

q-fin.MF2020

Quadratic Hedging for Sequential Claims with Random Weights in Discrete Time

Jun Deng, Bin Zou

We study a quadratic hedging problem for a sequence of contingent claims with random weights in discrete time. We obtain the optimal hedging strategy explicitly in a recursive repr…

stat.ME2020

Breakdown points of penalized and hybrid M-estimators of covariance

David E. Tyler, Mengxi Yi

We introduce a class of hybrid M-estimators of multivariate scatter which, analogous to the popular spatial sign covariance matrix (SSCM), possess high breakdown points. We also sh…