Daokun Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating	2023	Yixin Liu Yizhen Zheng Daokun Zhang Vincent C. S. Lee Shirui Pan
+	Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment	2023	Qijie Ding Jie Yin Daokun Zhang Junbin Gao
+	Link Prediction with Contextualized Self-Supervision	2022	Daokun Zhang Jie Yin Philip S. Yu
+	Towards Unsupervised Deep Graph Structure Learning	2022	Yixin Liu Yu Zheng Daokun Zhang Hongxu Chen Hao Peng Shirui Pan
+	Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment	2022	Qijie Ding Daokun Zhang Jie Yin
+	Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating	2022	Yixin Liu Yizhen Zheng Daokun Zhang Vincent CS Lee Shirui Pan
+ PDF Chat	Search Efficient Binary Network Embedding	2021	Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang
+	Attributed Network Embedding via Subspace Discovery	2019	Daokun Zhang Jie Yin Xingquan Zhu
+	Search Efficient Binary Network Embedding	2019	Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang
+	Network Representation Learning: A Survey	2018	Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang
+	Network Representation Learning: A Survey	2018	Daokun Zhang Jie Yin Xingquan Zhu
+	MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding	2018	Daokun Zhang Jie Yin Xingquan Zhu
+	SINE: Scalable Incomplete Network Embedding	2018	Daokun Zhang Jie Yin Xingquan Zhu

Common Coauthors

Coauthor	Papers Together
Jie Yin	8
Xingquan Zhu	7
Shirui Pan	3
Yixin Liu	3
Chengqi Zhang	3
Qijie Ding	2
Jie Yin	2
Yizhen Zheng	2
Yu Zheng	1
Hongxu Chen	1
Junbin Gao	1
Philip S. Yu	1
Vincent C. S. Lee	1
Vincent CS Lee	1
Hao Peng	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	7
+	Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics	2012	Michael U. Gutmann Aapo Hyvärinen	5
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	5
+	Network Representation Learning: A Survey	2018	Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang	4
+ PDF Chat	Finding community structure in networks using the eigenvectors of matrices	2006	M. E. J. Newman	3
+ PDF Chat	LINE	2015	Jian Tang Meng Qu Wang Ming-zhe Ming Zhang Jun Yan Qiaozhu Mei	3
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	3
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	3
+ PDF Chat	Bernoulli Embeddings for Graphs	2018	Vinith Misra Sumit Bhatia	3
+ PDF Chat	Graph embedding techniques, applications, and performance: A survey	2018	Palash Goyal Emilio Ferrara	2
+ PDF Chat	Community detection in graphs	2009	Santo Fortunato	2
+	A Jacobi–Davidson type method for the generalized singular value problem	2009	Michiel E. Hochstenbach	2
+ PDF Chat	Attributed Network Embedding for Learning in a Dynamic Environment	2017	Jundong Li Harsh Dani Xia Hu Jiliang Tang Yi Chang Huan Liu	2
+ PDF Chat	SHINE	2018	Hongwei Wang Fuzheng Zhang Min Hou Xing Xie Minyi Guo Qi Liu	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+ PDF Chat	Hierarchical Neural Language Models for Joint Representation of Streaming Documents and their Content	2015	Nemanja Djuric Hao Wu Vladan Radosavljević Mihajlo Grbovic Narayan Bhamidipati	2
+	Distributed Representations of Sentences and Documents	2014	Quoc V. Le Tomáš Mikolov	2
+	Structural Deep Embedding for Hyper-Networks	2017	Ke Tu Peng Cui Xiao Wang Fei Wang Wenwu Zhu	2
+ PDF Chat	Chebyshev polynomial approximation for distributed signal processing	2011	David I Shuman Pierre Vandergheynst Pascal Frossard	2
+ PDF Chat	Clustering and community detection in directed networks: A survey	2013	Fragkiskos D. Malliaros Michalis Vazirgiannis	2
+ PDF Chat	Finding and evaluating community structure in networks	2004	Michelle G. Newman Michelle Girvan	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+ PDF Chat	Geometric Deep Learning: Going beyond Euclidean data	2017	Michael M. Bronstein Joan Bruna Yann LeCun Arthur Szlam Pierre Vandergheynst	2
+	Heterogeneous Information Network Embedding for Meta Path based Proximity	2017	Zhipeng Huang Nikos Mamoulis	2
+ PDF Chat	<i>struc2vec</i>	2017	Leonardo F. R. Ribeiro Pedro H.P. Saverese Daniel R. Figueiredo	2
+	Deep Feature Learning for Graphs.	2017	Ryan A. Rossi Rong Zhou Nesreen K. Ahmed	2
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+ PDF Chat	Social structure of Facebook networks	2011	Amanda L. Traud Peter J. Mucha Mason A. Porter	2
+	Revisiting Semi-Supervised Learning with Graph Embeddings	2016	Zhilin Yang William W. Cohen Ruslan Salakhutdinov	2
+	Community structure in social and biological networks	2002	Michelle Girvan M. E. J. Newman	2
+ PDF Chat	A Survey on Network Embedding	2018	Peng Cui Xiao Wang Jian Pei Wenwu Zhu	2
+	Supervised Dictionary Learning	2008	Julien Mairal Francis Bach Jean Ponce Guillermo Sapiro Andrew Zisserman	2
+ PDF Chat	A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications	2018	Hongyun Cai Vincent W. Zheng Kevin Chen–Chuan Chang	2
+ PDF Chat	An Attention-based Collaboration Framework for Multi-View Network Representation Learning	2017	Meng Qu Jian Tang Jingbo Shang Xiang Ren Ming Zhang Jiawei Han	2
+ PDF Chat	Representation Learning for Scale-Free Networks	2018	Rui Feng Yang Yang Wenjie Hu Fei Wu Yueting Zhang	2
+	Min-Wise Independent Permutations	2000	Andrei Broder Moses Charikar Alan Frieze Michael Mitzenmacher	2
+	Modularity and community structure in networks	2006	M. E. J. Newman	2
+	Adversarially Regularized Graph Autoencoder.	2018	Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang	2
+	Bernoulli Embeddings for Graphs	2018	Vinith Misra Sumit Bhatia	2
+ PDF Chat	Assessing the relevance of node features for network structure	2009	Ginestra Bianconi Paolo Pin Matteo Marsili	2
+ PDF Chat	HARP: Hierarchical Representation Learning for Networks	2018	Haochen Chen Bryan Perozzi Yifan Hu Steven Skiena	1
+ PDF Chat	Effects of missing data in social networks	2005	Gueorgi Kossinets	1
+	Supervised Dictionary Learning	2008	Julien Mairal Jean Ponce Guillermo Sapiro Andrew Zisserman Francis R. Bach	1
+	Binarized Collaborative Filtering with Distilling Graph Convolutional Networks	2019	Haoyu Wang Defu Lian Yong Ge	1
+ PDF Chat	Link prediction in complex networks: A survey	2010	Linyuan Lü Tao Zhou	1
+	Revisiting Graph Neural Networks: All We Have is Low-Pass Filters	2019	Hoang Nt Takanori Maehara	1
+	Simplifying Graph Convolutional Networks	2019	Felix Wu Tianyi Zhang Amauri H. Souza Christopher Fifty Tao Yu Kilian Q. Weinberger	1
+	The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables	2016	Chris J. Maddison Andriy Mnih Yee Whye Teh	1
+	Adversarial Attacks on Graph Neural Networks via Meta Learning	2019	Daniel Zügner Stephan Günnemann	1
+	Pitfalls of Graph Neural Network Evaluation	2018	Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann	1