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Concentration Bounds for Co-occurrence Matrices of Markov Chains

Aug 06, 2020
Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, 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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Self-supervised Learning: Generative or Contrastive

Jun 29, 2020
Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, Jie Tang


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Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View

Jun 23, 2020
Shen Wang, Jibing Gong, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu

* 10 pages 

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Attention: to Better Stand on the Shoulders of Giants

May 27, 2020
Sha Yuan, Zhou Shao, Yu Zhang, Xingxing Wei, Tong Xiao, Yifan Wang, Jie Tang

* arXiv admin note: text overlap with arXiv:1811.02117, arXiv:1811.02129 

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Graph Random Neural Network

May 22, 2020
Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Jie Tang

* 12 pages, 22 figures 

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Understanding Negative Sampling in Graph Representation Learning

May 20, 2020
Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

* KDD 2020 

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Controllable Multi-Interest Framework for Recommendation

May 19, 2020
Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang

* Accepted to KDD 2020 

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Autonomous Last-mile Delivery Vehicles in Complex Traffic Environments

Jan 22, 2020
Bai Li, Shaoshan Liu, Jie Tang, Jean-Luc Gaudiot, Liangliang Zhang, Qi Kong

* 6 pages 6 figures, submitted to IEEE Computer 

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Dota 2 with Large Scale Deep Reinforcement Learning

Dec 13, 2019
OpenAI, :, Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, PrzemysŇāaw Dńôbiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Chris Hesse, Rafal J√≥zefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pond√© de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang


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Simple and Lightweight Human Pose Estimation

Nov 23, 2019
Zhe Zhang, Jie Tang, Gangshan Wu


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Blockwise Self-Attention for Long Document Understanding

Nov 07, 2019
Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang


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Course Concept Expansion in MOOCs with External Knowledge and Interactive Game

Sep 17, 2019
Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Zhiyuan Liu


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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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Learning Guided Convolutional Network for Depth Completion

Aug 03, 2019
Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan

* Submitted to the IEEE Transactions on Image Processing (TIP) 

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Infer Implicit Contexts in Real-time Online-to-Offline Recommendation

Jul 08, 2019
Xichen Ding, Jie Tang, Tracy Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang, Dan Shen

* 9 pages,KDD,KDD2019 

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Dimensional Reweighting Graph Convolutional Networks

Jul 04, 2019
Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Hongxia Yang, Jie Tang


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NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Jun 26, 2019
Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang

* 11 pages, in Proceedings of the Web Conference 2019 (WWW 19) 

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Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models

Jun 22, 2019
Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard Zemel, Shengyu Zhang

* Authors are listed in alphabetical order 

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Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

Jun 13, 2019
Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang


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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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Sequential Scenario-Specific Meta Learner for Online Recommendation

Jun 02, 2019
Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou, Jie Tang

* Accepted to KDD 2019 

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Representation Learning for Attributed Multiplex Heterogeneous Network

May 20, 2019
Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang

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

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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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Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure

Feb 20, 2019
Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua


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