activity
20112019
most citedLink Prediction Based on Graph Neural Networks

280 citations · 453 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2019★ 4 cited

A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room

Zhicheng Cui, Bradley A Fritz, Christopher R King +2

Logistic regression (LR) is widely used in clinical prediction because it is simple to deploy and easy to interpret. Nevertheless, being a linear model, LR has limited expressive c…

cs.IR2019★ 31 cited

Inductive Matrix Completion Based on Graph Neural Networks

Muhan Zhang, Yixin Chen

We propose an inductive matrix completion model without using side information. By factorizing the (rating) matrix into the product of low-dimensional latent embeddings of rows (us…

cs.LG2019★ 86 cited

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

Muhan Zhang, Shali Jiang, Zhicheng Cui +2

Graph structured data are abundant in the real world. Among different graph types, directed acyclic graphs (DAGs) are of particular interest to machine learning researchers, as man…

cs.LG2018★ 280 cited

Link Prediction Based on Graph Neural Networks

Muhan Zhang, Yixin Chen

Link prediction is a key problem for network-structured data. Link prediction heuristics use some score functions, such as common neighbors and Katz index, to measure the likelihoo…

cs.AI2016★ 2 cited

Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning

Qiang Lyu, Yixin Chen, Zhaorong Li +4

A main focus of machine learning research has been improving the generalization accuracy and efficiency of prediction models. Many models such as SVM, random forest, and deep neura…

cs.LG2015★ 32 cited

Compressing Convolutional Neural Networks

Wenlin Chen, James T. Wilson, Stephen Tyree +2

Convolutional neural networks (CNN) are increasingly used in many areas of computer vision. They are particularly attractive because of their ability to "absorb" great quantities o…

stat.ML2014★ 2 cited

A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing

Quan Zhou, Wenlin Chen, Shiji Song +3

The past years have witnessed many dedicated open-source projects that built and maintain implementations of Support Vector Machines (SVM), parallelized for GPU, multi-core CPUs an…

cs.AI2014★ 9 cited

SAS+ Planning as Satisfiability

Ruoyun Huang, Yixin Chen, Weixiong Zhang

Planning as satisfiability is a principal approach to planning with many eminent advantages. The existing planning as satisfiability techniques usually use encodings compiled from…

cs.AI2011★ 7 cited

Theory and Algorithms for Partial Order Based Reduction in Planning

You Xu, Yixin Chen, Qiang Lu +1

Search is a major technique for planning. It amounts to exploring a state space of planning domains typically modeled as a directed graph. However, prohibitively large sizes of the…