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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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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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