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Knowledge-Enhanced Top-K Recommendation in Poincaré Ball

Jan 13, 2021
Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

* 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

* Accepted by the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020 Research Track) 

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MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection

Oct 10, 2020
Yingxue Zhang, Fandong Meng, Peng Li, Ping Jian, Jie Zhou


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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

* Accepted by CIKM2020 Applied Research Track 

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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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Semantic Graph Convolutional Network for Implicit Discourse Relation Classification

Oct 21, 2019
Yingxue Zhang, Ping Jian, Fandong Meng, Ruiying Geng, Wei Cheng, Jie Zhou

* 8 pages, 4 figures 

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A Graph-CNN for 3D Point Cloud Classification

Nov 28, 2018
Yingxue Zhang, Michael Rabbat

* Published as a conference paper at ICASSP 2018 

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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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