Jian Tang (唐建）

Cited by

	All	Since 2016
Citations	9502	9289
h-index	34	34
i10-index	90	87

3100

1550

775

2325

2014201520162017201820192020202135 77 237 497 1025 1696 2780 3021

Public access

View all

54 articles

12 articles

available

not available

Based on funding mandates

Co-authors

Meng QuQuebec AI Institute (Mila)Verified email at umontreal.ca
Ming Zhang, 张铭Professor,Peking UniversityVerified email at net.pku.edu.cn
Qiaozhu MeiProfessor, University of MichiganVerified email at umich.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Chence ShiQuebec AI Institute (Mila)Verified email at umontreal.ca
Zhi-Hong DengSchool of Electronics Engineering and Computer Science, Peking UniversityVerified email at pku.edu.cn
Minkai XuMila - Quebec AI InstituteVerified email at umontreal.ca
Zhaocheng ZhuQuebec AI Institute (Mila)Verified email at umontreal.ca
Weiping Song (宋卫平)Peking UniversityVerified email at pku.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
Zhaoshi MengVicarious AIVerified email at vicarious.com
Andreea DeacMila, Université de MontréalVerified email at mila.quebec
Feixiong ChengCleveland ClinicVerified email at ccf.org
Laurent CharlinAssociate Professor, HEC Montréal & Mila, Canada CIFAR AI ChairVerified email at hec.ca
Xuanzhe LiuPeking UniversityVerified email at pku.edu.cn
Bolanle OjokohProfessor of Computer Science, Federal University of Technology, Akure, NigeriaVerified email at futa.edu.ng
P. Lió, Pietro Lio, P. Lio, Pietro Liò, Pie...University of CambridgeVerified email at cam.ac.uk
Connor W. ColeyDepartment of Chemical Engineering, MITVerified email at mit.edu
Shengchao(Chao) LiuMILA-UdeMVerified email at umontreal.ca

Jian Tang (唐建）

Assistant Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI Chair

Verified email at hec.ca - Homepage

Deep learning graph representation learning knowledge graph drug discovery deep generative models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Line: Large-scale information network embedding J Tang, M Qu, M Wang, M Zhang, J Yan, Q Mei Proceedings of the 24th international conference on world wide web, 1067-1077, 2015	3718	2015
Pte: Predictive text embedding through large-scale heterogeneous text networks J Tang, M Qu, Q Mei Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	622	2015
Rotate: Knowledge graph embedding by relational rotation in complex space Z Sun, ZH Deng, JY Nie, J Tang ICLR 2019, 2019	512	2019
Visualizing large-scale and high-dimensional data J Tang, J Liu, M Zhang, Q Mei Proceedings of the 25th international conference on world wide web, 287-297, 2016	313	2016
Understanding the limiting factors of topic modeling via posterior contraction analysis J Tang, Z Meng, X Nguyen, Q Mei, M Zhang International Conference on Machine Learning, 190-198, 2014	254	2014
Deepinf: Social influence prediction with deep learning J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	211	2018
Correlated states in twisted double bilayer graphene C Shen, Y Chu, QS Wu, N Li, S Wang, Y Zhao, J Tang, J Liu, J Tian, ... Nature Physics 16 (5), 520-525, 2020	193	2020
Adversarial network embedding Q Dai, Q Li, J Tang, D Wang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	176	2018
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks W Song, C Shi, Z Xiao, Z Duan, Y Xu, M Zhang, J Tang CIKM 2019, 2019	166	2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization FY Sun, J Hoffmann, V Verma, J Tang ICLR 2020 (Spotlight), 2020	152	2020
Artificial intelligence in COVID-19 drug repurposing Y Zhou, F Wang, J Tang, R Nussinov, F Cheng The Lancet Digital Health, 2020	151	2020
Session-based social recommendation via dynamic graph attention networks W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang Proceedings of the Twelfth ACM international conference on web search and …, 2019	150	2019
Graphene‐Contacted Ultrashort Channel Monolayer MoS₂ Transistors L Xie, M Liao, S Wang, H Yu, L Du, J Tang, J Zhao, J Zhang, P Chen, X Lu, ... Advanced Materials 29 (37), 1702522, 2017	144	2017
GMNN: Graph Markov Neural Networks M Qu, Y Bengio, J Tang ICML 2019, 2019	138	2019
Thermally induced graphene rotation on hexagonal boron nitride D Wang, G Chen, C Li, M Cheng, W Yang, S Wu, G Xie, J Zhang, J Zhao, ... Physical review letters 116 (12), 126101, 2016	111	2016
An attention-based collaboration framework for multi-view network representation learning M Qu, J Tang, J Shang, X Ren, M Zhang, J Han Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017	109	2017
Current-driven magnetization switching in a van der Waals ferromagnet Fe3GeTe2 X Wang, J Tang, X Xia, C He, J Zhang, Y Liu, C Wan, C Fang, C Guo, ... Science advances 5 (8), eaaw8904, 2019	101	2019
KEPLER: A unified model for knowledge embedding and pre-trained language representation X Wang, T Gao, Z Zhu, Z Zhang, Z Liu, J Li, J Tang Transactions of the Association for Computational Linguistics 9, 176-194, 2021	84	2021
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation C Shi, M Xu, Z Zhu, W Zhang, M Zhang, J Tang ICLR 2020, 2020	74	2020
Biosurfactants enhanced heavy metals removal from sludge in the electrokinetic treatment J Tang, J He, X Xin, H Hu, T Liu Chemical Engineering Journal 334, 2579-2592, 2018	71	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors