Xiaojuan Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Contrastive Disentangled Learning on Graph for Node Classification	2023	Xiaojuan Zhang Jun Fu Shuang Li
+	Contrastive Disentangled Learning on Graph for Node Classification	2023	Xiaojuan Zhang Jun Fu Shuang Li
+	An Infeasible Stochastic Approximation and Projection Algorithm for Stochastic Variational Inequalities	2019	Xiaojuan Zhang DU Xue-wu Zhen-Ping Yang Gui-Hua Lin

Common Coauthors

Coauthor	Papers Together
Jun Fu	2
Shuang Li	1
Shuang Li	1
Gui-Hua Lin	1
DU Xue-wu	1
Zhen-Ping Yang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Finite-Dimensional Variational Inequalities and Complementarity Problems	2004	Francisco Facchinei Jong‐Shi Pang	1
+	A Convergence Theorem for Non Negative Almost Supermartingales and Some Applications	1985	Herbert Robbins David Siegmund	1
+	On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems	2017	Farzad Yousefian Angelia Nedić Uday V. Shanbhag	1
+	Integral Inequalities for Convex Functions of Operators on Martingales	2011	Burgess Davis Renming Song	1
+	A class of projection and contraction methods for monotone variational inequalities	1997	Bingsheng He	1
+ PDF Chat	Equivalent differentiable optimization problems and descent methods for asymmetric variational inequality problems	1992	Masao Fukushima	1
+	Sample average approximation method for a class of stochastic variational inequality problems	2011	Mingzheng Wang Gui-Hua Lin Yuli Gao M. Montaz Ali	1
+	Convergence Properties of Projection and Contraction Methods for Variational Inequality Problems	2001	Naihua Xiu Chunpeng Wang Chunpeng Wang Jun Zhang	1
+ PDF Chat	Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems	2014	Farzad Yousefian Angelia Nedić Uday V. Shanbhag	1
+	Expected Residual Minimization Method for Stochastic Variational Inequality Problems	2008	M. J. Luo Gui Hua Lin	1
+	On the O(1/t) convergence rate of the projection and contraction methods for variational inequalities with Lipschitz continuous monotone operators	2013	Xingju Cai Guoyong Gu Bingsheng He	1
+	The pseudomonotone stochastic variational inequality problem: Analytical statements and stochastic extragradient schemes	2014	Aswin Kannan Uday V. Shanbhag	1
+ PDF Chat	On the convergence properties of non-Euclidean extragradient methods for variational inequalities with generalized monotone operators	2014	Cong D. Dang Guanghui Lan	1
+	SAMPLE AVERAGE APPROXIMATION METHODS FOR A CLASS OF STOCHASTIC VARIATIONAL INEQUALITY PROBLEMS	2010	Huifu Xu	1
+ PDF Chat	Engineering and Economic Applications of Complementarity Problems	1997	Michael C. Ferris Jong‐Shi Pang	1
+ PDF Chat	Expected Residual Minimization Method for Stochastic Linear Complementarity Problems	2005	Xiaojun Chen Masao Fukushima	1
+	Distributed adaptive steplength stochastic approximation schemes for Cartesian stochastic variational inequality problems	2013	Farzad Yousefian Angelia Nedić Uday V. Shanbhag	1
+ PDF Chat	Stochastic variational inequalities: single-stage to multistage	2016	R. T. Rockafellar Roger J.‐B. Wets	1
+	A CONVERGENCE THEOREM FOR NON NEGATIVE ALMOST SUPERMARTINGALES AND SOME APPLICATIONS**Research supported by NIH Grant 5-R01-GM-16895-03 and ONR Grant N00014-67-A-0108-0018.	1971	Herbert Robbins David Siegmund	1
+ PDF Chat	Extragradient Method with Variance Reduction for Stochastic Variational Inequalities	2017	Alfredo N. Iusem A. Jofré Roberto I. Oliveira Philip Thompson	1
+	Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications	2018	Zhen-Ping Yang Jin Zhang Xide Zhu Gui-Hua Lin	1
+	Revisiting Semi-Supervised Learning with Graph Embeddings	2016	Zhilin Yang William W. Cohen Ruslan Salakhutdinov	1
+ PDF Chat	Incremental Constraint Projection Methods for Monotone Stochastic Variational Inequalities	2018	Alfredo N. Iusem Alejandro Jofré Philip Thompson	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+ PDF Chat	Independence Promoted Graph Disentangled Networks	2020	Yanbei Liu Xiao Wang Shu Wu Zhitao Xiao	1
+	Strategies for Pre-training Graph Neural Networks	2019	Weihua Hu Bowen Liu Joseph Gomes Marinka Žitnik Percy Liang Vijay S. Pande Jure Leskovec	1
+	Deep Graph Contrastive Representation Learning	2020	Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang	1
+	Contrastive Multi-View Representation Learning on Graphs	2020	Kaveh Hassani Amir Hosein Khasahmadi	1
+	Factorizable Graph Convolutional Networks	2020	Yiding Yang Zunlei Feng Mingli Song Xinchao Wang	1
+	Graph Contrastive Learning with Augmentations	2020	Yuning You Tianlong Chen Yongduo Sui Ting Chen Zhangyang Wang Yang Shen	1
+ PDF Chat	GCC	2020	Jiezhong Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang	1
+ PDF Chat	Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants	2019	Aswin Kannan Uday V. Shanbhag	1
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	1
+ PDF Chat	Graph Self-Supervised Learning: A Survey	2022	Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu	1
+	Adversarial Graph Disentanglement.	2021	Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao	1
+	Adversarial Graph Augmentation to Improve Graph Contrastive Learning	2021	Susheel Suresh Li Pan Cong Hao Jennifer Neville	1
+	Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction	2021	Guofeng Lv Zhiqiang Hu Yanguang Bi Shaoting Zhang	1
+ PDF Chat	DisenKGAT	2021	Junkang Wu Wentao Shi Xuezhi Cao Jiawei Chen Wenqiang Lei Fuzheng Zhang Wei Biao Wu Xiangnan He	1
+ PDF Chat	Exploring Edge Disentanglement for Node Classification	2022	Tianxiang Zhao X. D. Zhang Suhang Wang	1
+	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization	2019	Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	Finite-Dimensional Variational Inequalities and Complementarity Problems	2004	Francisco Facchinei Jong‐Shi Pang	1