Jiajun Zhong

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All published works

Action	Title	Year	Authors
+ PDF Chat	Designing a Dataset for Convolutional Neural Networks to Predict Space Groups Consistent with Extinction Laws	2024	Haolin Wang Jiajun Zhong Yikun Li Junrong Zhang Rong Du
+ PDF Chat	Data Imputation with Iterative Graph Reconstruction	2023	Jiajun Zhong Ning Gui Weiwei Ye
+	Data Imputation with Iterative Graph Reconstruction	2022	Jiajun Zhong Weiwei Ye Ning Gui

Common Coauthors

Coauthor	Papers Together
Ning Gui	2
Weiwei Ye	2
Junrong Zhang	1
Haolin Wang	1
Rong Du	1
Yikun Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Multiple imputation by chained equations: what is it and how does it work?	2011	Melissa Azur Elizabeth A. Stuart Constantine Frangakis Philip J. Leaf	2
+	Multiple imputation using chained equations: Issues and guidance for practice	2010	Ian R. White Patrick Royston Angela Wood	2
+	Categorical Reparameterization with Gumbel-Softmax	2016	Eric Jang Shixiang Gu Ben Poole	2
+	The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables	2016	Chris J. Maddison Andriy Mnih Yee Whye Teh	2
+	Multiple Imputation Using Deep Denoising Autoencoders.	2017	Lovedeep Gondara Ke Wang	2
+	Graph Convolutional Matrix Completion	2017	Rianne van den Berg Thomas Kipf Max Welling	2
+	GAIN: Missing Data Imputation using Generative Adversarial Nets	2018	Jinsung Yoon James Jordon Mihaela van der Schaar	2
+	From predictive methods to missing data imputation: an optimization approach	2017	Dimitris Bertsimas Colin Pawlowski Ying Daisy Zhuo	2
+ PDF Chat	Missing data imputation with adversarially-trained graph convolutional networks	2020	Indro Spinelli Simone Scardapane Aurelio Uncini	2
+	Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares	2014	Trevor Hastie Rahul Mazumder Jason Lee Reza Bosagh Zadeh	2
+	G2SAT: Learning to Generate SAT Formulas	2019	Jiaxuan You Haoze Wu Clark Barrett Raghuram Ramanujan Jure Leskovec	2
+ PDF Chat	Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning	2020	Jicong Fan Yuqian Zhang Madeleine Udell	2
+	Spectral Regularization Algorithms for Learning Large Incomplete Matrices	2010	MazumderRahul HastieTrevor TibshiraniRobert	2
+	Missing Data Imputation using Optimal Transport	2020	Boris Muzellec Julie Josse Claire Boyer Marco Cuturi	2
+ PDF Chat	Handling incomplete heterogeneous data using VAEs	2020	Alfredo Nazábal Pablo M. Olmos Zoubin Ghahramani Isabel Valera	2
+ PDF Chat	Data Augmentation for Graph Neural Networks	2021	Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah	2
+	Handling Missing Data with Graph Representation Learning	2020	Jiaxuan You Xiaobai Ma Daisy Yi Ding Mykel J. Kochenderfer Jure Leskovec	2
+	MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms	2021	Trent Kyono Yao Zhang Alexis Bellot Mihaela van der Schaar	2
+	Inductive Matrix Completion Based on Graph Neural Networks	2019	Muhan Zhang Yixin Chen	2
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	GANS for Sequences of Discrete Elements with the Gumbel-softmax Distribution	2016	Matt J. Kusner José Miguel Hernández-Lobato	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+ PDF Chat	mice : Multivariate Imputation by Chained Equations in R	2011	Stef van Buuren Catharina G. M. Groothuis‐Oudshoorn	2
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	2