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Mark Coates

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Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation

Nov 11, 2022
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates

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DyG2Vec: Representation Learning for Dynamic Graphs with Self-Supervision

Oct 30, 2022
Mohammad Ali Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

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Evaluation of Categorical Generative Models -- Bridging the Gap Between Real and Synthetic Data

Oct 28, 2022
Florence Regol, Anja Kroon, Mark Coates

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Contrastive Learning for Time Series on Dynamic Graphs

Sep 21, 2022
Yitian Zhang, Florence Regol, Antonios Valkanas, Mark Coates

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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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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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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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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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