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BayReL: Bayesian Relational Learning for Multi-omics Data Integration

Oct 22, 2020
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R Narayanan, Xiaoning Qian

* Advances in Neural Information Processing Systems 33 (NeurIPS 2020) 

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Bayesian Graph Neural Networks with Adaptive Connection Sampling

Jun 30, 2020
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian


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Semi-Implicit Stochastic Recurrent Neural Networks

Oct 28, 2019
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian


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Temporal Network Sampling

Oct 18, 2019
Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi


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Variational Graph Recurrent Neural Networks

Sep 09, 2019
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R Narayanan, Mingyuan Zhou, Xiaoning Qian

* Accepted to Neural Information Processing Systems (NeurIPS2019) 

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Semi-Implicit Graph Variational Auto-Encoders

Sep 07, 2019
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian

* Accepted to Advances in Neural Information Processing Systems (NeurIPS2019) 

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Network Shrinkage Estimation

Aug 02, 2019
Nesreen K. Ahmed, Nick Duffield


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Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games

Jan 14, 2019
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

* arXiv admin note: substantial text overlap with arXiv:1808.06573 

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Streaming Network Embedding through Local Actions

Nov 14, 2018
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen


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A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games

Oct 10, 2018
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang

* to appear in ICDM 2018 

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Graphlet Decomposition: Framework, Algorithms, and Applications

Feb 15, 2016
Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick Duffield, Theodore L. Willke


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