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Mark Coates

McGill University, Montreal, Canada

RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting


Jun 10, 2021
Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates

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* ICML 2021 
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TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion


May 09, 2021
Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung

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* SIGIR 2021 long paper. 13 pages, 4 figures 
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Knowledge-Enhanced Top-K Recommendation in Poincaré Ball


Jan 29, 2021
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

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* Accepted by the 35th AAAI Conference on Artificial Intelligence (AAAI 2021) 
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Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation


Jan 13, 2021
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates

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* Accepted by the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020 Research Track) 
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GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems


Sep 02, 2020
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates

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* Accepted by CIKM2020 Applied Research Track 
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Node Copying for Protection Against Graph Neural Network Topology Attacks


Jul 09, 2020
Florence Regol, Soumyasundar Pal, Mark Coates

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Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation


Jul 09, 2020
Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates

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Non-Parametric Graph Learning for Bayesian Graph Neural Networks


Jun 23, 2020
Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates

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Bayesian Graph Convolutional Neural Networks using Node Copying


Nov 08, 2019
Soumyasundar Pal, Florence Regol, Mark Coates

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* arXiv admin note: text overlap with arXiv:1910.12132 
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Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning


Oct 26, 2019
Soumyasundar Pal, Florence Regol, Mark Coates

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Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization


Jun 06, 2019
Cody Mazza-Anthony, Bogdan Mazoure, Mark Coates

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Bayesian graph convolutional neural networks for semi-supervised classification


Nov 27, 2018
Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay

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Cost Adaptation for Robust Decentralized Swarm Behaviour


Sep 30, 2018
Peter Henderson, Matthew Vertescher, David Meger, Mark Coates

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* Accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 
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Microwave breast cancer detection using Empirical Mode Decomposition features


Feb 24, 2017
Hongchao Song, Yunpeng Li, Mark Coates, Aidong Men

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Sparse Multivariate Factor Regression


Feb 29, 2016
Milad Kharratzadeh, Mark Coates

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Semi-parametric Order-based Generalized Multivariate Regression


Feb 19, 2016
Milad Kharratzadeh, Mark Coates

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GANC: Greedy Agglomerative Normalized Cut


May 05, 2011
Seyed Salim Tabatabaei, Mark Coates, Michael Rabbat

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* Submitted to Pattern Recognition. 27 pages, 5 figures 
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Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning


Jan 06, 2010
Frederic Thouin, Mark Coates, Michael Rabbat

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Greedy Gossip with Eavesdropping


Sep 09, 2009
Deniz Ustebay, Boris Oreshkin, Mark Coates, Michael Rabbat

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* 25 pages, 7 figures 
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