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VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning


Dec 05, 2021
Qibin Chen, Jeremy Lacomis, Edward J. Schwartz, Graham Neubig, Bogdan Vasilescu, Claire Le Goues

* Accepted by ICSE 2022 

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CogDL: An Extensive Toolkit for Deep Learning on Graphs


Mar 01, 2021
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang


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GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training


Jul 02, 2020
Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang

* 11 pages, 5 figures, to appear in KDD 2020 proceedings 

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Towards Knowledge-Based Recommender Dialog System


Sep 03, 2019
Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang

* To appear in EMNLP 2019 

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Cognitive Graph for Multi-Hop Reading Comprehension at Scale


Jun 04, 2019
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

* ACL 2019 

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Towards Knowledge-Based Personalized Product Description Generation in E-commerce


Apr 30, 2019
Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou, Jie Tang

* Accepted to KDD 2019. Website: https://sites.google.com/view/kobe2019 

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