Meng Qu
Meng Qu
Quebec AI Institute (Mila)
Verified email at umontreal.ca - Homepage
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
26782015
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
4632015
Cotype: Joint extraction of typed entities and relations with knowledge bases
X Ren, Z Wu, W He, M Qu, CR Voss, H Ji, TF Abdelzaher, J Han
Proceedings of the 26th International Conference on World Wide Web, 1015-1024, 2017
1372017
Afet: Automatic fine-grained entity typing by hierarchical partial-label embedding
X Ren, W He, M Qu, L Huang, H Ji, J Han
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
882016
Label noise reduction in entity typing by heterogeneous partial-label embedding
X Ren, W He, M Qu, CR Voss, H Ji, J Han
Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016
882016
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
812017
Meta-path guided embedding for similarity search in large-scale heterogeneous information networks
J Shang, M Qu, J Liu, LM Kaplan, J Han, J Peng
arXiv preprint arXiv:1610.09769, 2016
672016
Gmnn: Graph markov neural networks
M Qu, Y Bengio, J Tang
arXiv preprint arXiv:1905.06214, 2019
602019
Automatic synonym discovery with knowledge bases
M Qu, X Ren, J Han
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
302017
Weakly-supervised relation extraction by pattern-enhanced embedding learning
M Qu, X Ren, Y Zhang, J Han
Proceedings of the 2018 World Wide Web Conference, 1257-1266, 2018
232018
Graphvite: A high-performance cpu-gpu hybrid system for node embedding
Z Zhu, S Xu, J Tang, M Qu
The World Wide Web Conference, 2494-2504, 2019
212019
Curriculum learning for heterogeneous star network embedding via deep reinforcement learning
M Qu, J Tang, J Han
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
202018
Probabilistic logic neural networks for reasoning
M Qu, J Tang
Advances in Neural Information Processing Systems, 7712-7722, 2019
182019
Life-inet: A structured network-based knowledge exploration and analytics system for life sciences
X Ren, J Shen, M Qu, X Wang, Z Wu, Q Zhu, M Jiang, F Tao, S Sinha, ...
Proceedings of ACL 2017, System Demonstrations, 55-60, 2017
162017
Truepie: Discovering reliable patterns in pattern-based information extraction
Q Li, M Jiang, X Zhang, M Qu, TP Hanratty, J Gao, J Han
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
132018
Graphmix: Regularized training of graph neural networks for semi-supervised learning
V Verma, M Qu, A Lamb, Y Bengio, J Kannala, J Tang
arXiv preprint arXiv:1909.11715, 2019
122019
Learning dual retrieval module for semi-supervised relation extraction
H Lin, J Yan, M Qu, X Ren
The World Wide Web Conference, 1073-1083, 2019
122019
COVI White Paper
H Alsdurf, Y Bengio, T Deleu, P Gupta, D Ippolito, R Janda, M Jarvie, ...
arXiv preprint arXiv:2005.08502, 2020
102020
vGraph: A generative model for joint community detection and node representation learning
FY Sun, M Qu, J Hoffmann, CW Huang, J Tang
Advances in Neural Information Processing Systems, 514-524, 2019
92019
PROSNET: Integrating homology with molecular networks for protein function prediction
S Wang, M Qu, J Peng
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017, 27-38, 2017
82017
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Articles 1–20