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Feeding What You Need by Understanding What You Learned



Xiaoqiang Wang , Bang Liu , Fangli Xu , Bo Long , Siliang Tang , Lingfei Wu

* Accepted by ACL 2022 

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Multi-Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation



Yiming Zhang , Lingfei Wu , Qi Shen , Yitong Pang , Zhihua Wei , Fangli Xu , Bo Long , Jian Pei


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RDF-to-Text Generation with Reinforcement Learning Based Graph-augmented Structural Neural Encoders



Hanning Gao , Lingfei Wu , Po Hu , Zhihua Wei , Fangli Xu , Bo Long


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Graph-augmented Learning to Rank for Querying Large-scale Knowledge Graph



Hanning Gao , Lingfei Wu , Po Hu , Zhihua Wei , Fangli Xu , Bo Long


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Multi-behavior Graph Contextual Aware Network for Session-based Recommendation



Qi Shen , Lingfei Wu , Yitong Pang , Yiming Zhang , Zhihua Wei , Fangli Xu , Bo Long


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Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation



Yiming Zhang , Lingfei Wu , Qi Shen , Yitong Pang , Zhihua Wei , Fangli Xu , Ethan Chang , Bo Long

* 10 pages, 5 figures 

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Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation



Yitong Pang , Lingfei Wu , Qi Shen , Yiming Zhang , Zhihua Wei , Fangli Xu , Ethan Chang , Bo Long

* 11 pages, 2 figures 

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Constructing Contrastive samples via Summarization for Text Classification with limited annotations



Yangkai Du , Tengfei Ma , Lingfei Wu , Fangli Xu , Xuhong Zhang , Shouling Ji


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Deep Graph Matching and Searching for Semantic Code Retrieval



Xiang Ling , Lingfei Wu , Saizhuo Wang , Gaoning Pan , Tengfei Ma , Fangli Xu , Alex X. Liu , Chunming Wu , Shouling Ji

* 21 pages 

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Hierarchical Graph Matching Networks for Deep Graph Similarity Learning



Xiang Ling , Lingfei Wu , Saizhuo Wang , Tengfei Ma , Fangli Xu , Alex X. Liu , Chunming Wu , Shouling Ji

* 17 pages 

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