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Mark Coates

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation

Aug 05, 2022
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates

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* 11 pages, 7 figures

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Node Copying: A Random Graph Model for Effective Graph Sampling

Aug 04, 2022
Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates

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* Signal Processing, Volume 192, March 2022, 108335

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Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks

Feb 22, 2022
Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

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Multi-relation Message Passing for Multi-label Text Classification

Feb 10, 2022
Muberra Ozmen, Hao Zhang, Pengyun Wang, Mark Coates

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Spectral image clustering on dual-energy CT scans using functional regression mixtures

Jan 31, 2022
Segolene Brivet, Faicel Chamroukhi, Mark Coates, Reza Forghani, Peter Savadjiev

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* submitted to IEEE Transactions on Medical Imaging

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Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction

Nov 10, 2021
Amur Ghose, Vincent Zhang, Yingxue Zhang, Dong Li, Wulong Liu, Mark Coates

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* Accepted and presented at ICCAD 2021

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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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