Jian Tang (唐建）

Cited by

	All	Since 2018
Citations	15193	14331
h-index	43	42
i10-index	78	73

4300

2150

1075

3225

20152016201720182019202020212022202373 214 454 904 1462 2283 3298 4241 2127

Public access

View all

44 articles

3 articles

available

not available

Based on funding mandates

Co-authors

Ming Zhang, 张铭Professor,Peking UniversityVerified email at pku.edu.cn
Meng QuQuebec AI Institute (Mila)Verified email at umontreal.ca
Qiaozhu MeiProfessor, University of MichiganVerified email at umich.edu
Chence ShiQuebec AI Institute (Mila)Verified email at umontreal.ca
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Minkai XuStanford UniversityVerified email at stanford.edu
Zhaocheng ZhuMila - Quebec AI InstituteVerified email at umontreal.ca
Zhi-Hong DengSchool of Electronics Engineering and Computer Science, Peking UniversityVerified email at pku.edu.cn
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Weiping Song (宋卫平)Peking UniversityVerified email at pku.edu.cn
Shengchao LiuMila-UdeMVerified email at umontreal.ca
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
XuanLong NguyenUniversity of MichiganVerified email at umich.edu
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
Xuanzhe LiuPeking University | ACM Distinguished ScientistVerified email at pku.edu.cn
Bolanle OjokohDepartment of Information Systems, Federal University of Technology, Akure, NigeriaVerified email at futa.edu.ng
Rafael Gómez-BombarelliAssociate Professor, MIT DMSEVerified email at mit.edu

Jian Tang (唐建）

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

Verified email at hec.ca - Homepage

Geometric deep learning AI for molecule/protein design knowledge graphs 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	5409	2015
Rotate: Knowledge graph embedding by relational rotation in complex space Z Sun, ZH Deng, JY Nie, J Tang ICLR 2019, 2019	1499	2019
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	849	2015
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	564	2020
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	456	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	436	2016
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	429	2018
Artificial intelligence in COVID-19 drug repurposing Y Zhou, F Wang, J Tang, R Nussinov, F Cheng The Lancet Digital Health 2 (12), e667-e676, 2020	377	2020
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	348	2021
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	337	2019
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	336	2014
GMNN: Graph Markov Neural Networks M Qu, Y Bengio, J Tang ICML 2019, 2019	270	2019
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	249	2020
Adversarial network embedding Q Dai, Q Li, J Tang, D Wang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	235	2018
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	166	2017
Utilizing graph machine learning within drug discovery and development T Gaudelet, B Day, AR Jamasb, J Soman, C Regep, G Liu, JBR Hayter, ... Briefings in bioinformatics 22 (6), bbab159, 2021	145	2021
Probabilistic Logic Neural Networks for Reasoning M Qu, J Tang NeurIPS'19, 2019	137	2019
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation M Xu, L Yu, Y Song, C Shi, S Ermon, J Tang ICLR 2022 Oral, 2022	134	2022
Graphmix: Regularized training of graph neural networks for semi-supervised learning V Verma, M Qu, A Lamb, Y Bengio, J Kannala, J Tang AAAI'21, 2021	112*	2021
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding Z Zhu, S Xu, M Qu, J Tang The World Wide Web Conference, 2494-2504, 2019	104	2019

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

Cited by

Co-authors