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2020 – today
- 2024
[j12]Tao He
, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38(2): 343-371 (2024)- [j11]Meng Qu:
Exploring patron behavior in an academic library: A wi-fi-connection data analysis. Educ. Inf. Technol. 29(9): 11235-11256 (2024) - [j10]Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(1): 899-912 (2024) - [i32]Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein:
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR abs/2402.04247 (2024) - 2023
- [j9]Yueyun Wang, Qing Ji, Xiaoping Pang, Meng Qu, Mingxing Cha, Fanyi Zhang, Zhongnan Yan, Bin He:
Distribution Characteristics and Influencing Factors of Sea Ice Leads in the Weddell Sea, Antarctica. Remote. Sens. 15(23): 5568 (2023) - [c38]Yu Li, Meng Qu, Jian Tang, Yi Chang:
Signed Laplacian Graph Neural Networks. AAAI 2023: 4444-4452 - [c37]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. ICLR 2023 - [i31]Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. CoRR abs/2304.11688 (2023) - [i30]Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang:
GraphText: Graph Reasoning in Text Space. CoRR abs/2310.01089 (2023) - 2022
- [j8]Pei Fan, Xi Zhao, Meng Qu, Zhongnan Yan, Ying Chen, Zeyu Liang, Xiaoping Pang:
Evaluation of the relationships and uncertainties of airborne and ground-based sea ice surface temperature measurements against remotely sensed temperature records. Int. J. Digit. Earth 15(1): 1989-2005 (2022) - [j7]Ming Li, Jiping Liu, Meng Qu, Zhanhai Zhang, Xi Liang:
An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2. Remote. Sens. 14(4): 969 (2022) - [j6]Xiaoping Pang, Chuang Liu, Xi Zhao, Bin He, Pei Fan, Yue Liu, Meng Qu, Minghu Ding:
Application of Machine Learning for Simulation of Air Temperature at Dome A. Remote. Sens. 14(4): 1045 (2022) - [j5]Xi Zhao, Ying Chen, Stefan Kern, Meng Qu, Qing Ji, Pei Fan, Yue Liu:
Sea Ice Concentration Derived From FY-3D MWRI and Its Accuracy Assessment. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c36]Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang:
Structured Multi-task Learning for Molecular Property Prediction. AISTATS 2022: 8906-8920 - [c35]Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. ICDE 2022: 699-712 - [c34]Meng Qu, Huiyu Cai, Jian Tang:
Neural Structured Prediction for Inductive Node Classification. ICLR 2022 - [c33]Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang:
TGNN: A Joint Semi-supervised Framework for Graph-level Classification. IJCAI 2022: 2122-2128 - [c32]Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. WSDM 2022: 421-429 - [i29]Zhaocheng Zhu, Chence Shi, Zuobai Zhang, Shengchao Liu, Minghao Xu, Xinyu Yuan, Yangtian Zhang, Junkun Chen, Huiyu Cai, Jiarui Lu, Chang Ma, Runcheng Liu, Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery. CoRR abs/2202.08320 (2022) - [i28]Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang:
Structured Multi-task Learning for Molecular Property Prediction. CoRR abs/2203.04695 (2022) - [i27]Meng Qu, Huiyu Cai, Jian Tang:
Neural Structured Prediction for Inductive Node Classification. CoRR abs/2204.07524 (2022) - [i26]Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang:
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. CoRR abs/2205.10550 (2022) - [i25]Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang:
Learning on Large-scale Text-attributed Graphs via Variational Inference. CoRR abs/2210.14709 (2022) - 2021
- [j4]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He:
Knowledge graph embedding with shared latent semantic units. Neural Networks 139: 140-148 (2021) - [c31]Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang:
GraphMix: Improved Training of GNNs for Semi-Supervised Learning. AAAI 2021: 10024-10032 - [c30]Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams:
Predicting Infectiousness for Proactive Contact Tracing. ICLR 2021 - [c29]Meng Qu, Junkun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang:
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. ICLR 2021 - [c28]Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang:
Joint Modeling of Visual Objects and Relations for Scene Graph Generation. NeurIPS 2021: 7689-7702 - 2020
- [c27]Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren:
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. EMNLP (1) 2020: 6669-6683 - [c26]Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. ICML 2020: 7867-7876 - [c25]Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
Continuous Graph Neural Networks. ICML 2020: 10432-10441 - [c24]Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang:
Graph Policy Network for Transferable Active Learning on Graphs. NeurIPS 2020 - [i24]Hannah Alsdurf, Yoshua Bengio, Tristan Deleu, Prateek Gupta, Daphne Ippolito, Richard Janda, Max Jarvie, Tyler Kolody, Sekoul Krastev, Tegan Maharaj, Robert Obryk, Dan Pilat, Valerie Pisano, Benjamin Prud'homme, Meng Qu, Nasim Rahaman, Irina Rish, Jean-Franois Rousseau, Abhinav Sharma, Brooke Struck, Jian Tang, Martin Weiss, Yun William Yu:
COVI White Paper. CoRR abs/2005.08502 (2020) - [i23]Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang:
Graph Policy Network for Transferable Active Learning on Graphs. CoRR abs/2006.13463 (2020) - [i22]Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang:
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. CoRR abs/2007.02387 (2020) - [i21]Meng Qu, Junkun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang:
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. CoRR abs/2010.04029 (2020) - [i20]Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams:
Predicting Infectiousness for Proactive Contact Tracing. CoRR abs/2010.12536 (2020) - [i19]Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David L. Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio:
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR abs/2010.16004 (2020)
2010 – 2019
- 2019
- [j3]Shagun Sodhani, Meng Qu, Jian Tang:
Attending Over Triads for Learning Signed Network Embedding. Frontiers Big Data 2: 6 (2019) - [c23]Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren:
Collaborative Policy Learning for Open Knowledge Graph Reasoning. EMNLP/IJCNLP (1) 2019: 2672-2681 - [c22]Meng Qu, Yoshua Bengio, Jian Tang:
GMNN: Graph Markov Neural Networks. ICML 2019: 5241-5250 - [c21]Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang:
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. NeurIPS 2019: 512-522 - [c20]Meng Qu, Jian Tang:
Probabilistic Logic Neural Networks for Reasoning. NeurIPS 2019: 7710-7720 - [c19]Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. WWW 2019: 1073-1083 - [c18]Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu:
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. WWW 2019: 2494-2504 - [i18]Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. CoRR abs/1902.07814 (2019) - [i17]Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang:
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. CoRR abs/1903.00757 (2019) - [i16]Meng Qu, Yoshua Bengio, Jian Tang:
GMNN: Graph Markov Neural Networks. CoRR abs/1905.06214 (2019) - [i15]Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang:
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning. CoRR abs/1906.07159 (2019) - [i14]Meng Qu, Jian Tang:
Probabilistic Logic Neural Networks for Reasoning. CoRR abs/1906.08495 (2019) - [i13]Meng Qu, Jian Tang, Yoshua Bengio:
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. CoRR abs/1907.03179 (2019) - [i12]Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren:
Collaborative Policy Learning for Open Knowledge Graph Reasoning. CoRR abs/1909.00230 (2019) - [i11]Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang:
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR abs/1909.11715 (2019) - [i10]Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang:
Continuous Graph Neural Networks. CoRR abs/1912.00967 (2019) - 2018
- [j2]Xiaoping Pang, Jian Pu, Xi Zhao, Qing Ji, Meng Qu, Zian Cheng:
Comparison between AMSR2 Sea Ice Concentration Products and Pseudo-Ship Observations of the Arctic and Antarctic Sea Ice Edge on Cloud-Free Days. Remote. Sens. 10(2): 317 (2018) - [c17]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He:
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP 2018: 3198-3207 - [c16]Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han:
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD 2018: 1675-1684 - [c15]Meng Qu, Jian Tang, Jiawei Han:
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM 2018: 468-476 - [c14]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. WWW 2018: 1257-1266 - 2017
- [j1]Meng Qu, Chun Ni, Mufan Chen, Linghan Zheng, Ling Dai, Bin Sheng, Ping Li, Qiang Wu:
Automatic diabetic retinopathy diagnosis using adjustable ophthalmoscope and multi-scale line operator. Pervasive Mob. Comput. 41: 490-503 (2017) - [c13]Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han:
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) 2017: 55-60 - [c12]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c11]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. KDD 2017: 997-1005 - [c10]Sheng Wang, Meng Qu, Jian Peng:
ProSNet: integrating homology with molecular networks for protein function prediction. PSB 2017: 27-38 - [c9]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. WWW 2017: 1015-1024 - [i9]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. CoRR abs/1706.08186 (2017) - [i8]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - [i7]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR abs/1711.03226 (2017) - 2016
- [c8]Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han:
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. EMNLP 2016: 1369-1378 - [c7]Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong:
Unified Point-of-Interest Recommendation with Temporal Interval Assessment. KDD 2016: 1015-1024 - [c6]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. KDD 2016: 1825-1834 - [i6]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. CoRR abs/1602.05307 (2016) - [i5]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. CoRR abs/1610.08763 (2016) - [i4]Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng:
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR abs/1610.09769 (2016) - [i3]Jian Tang, Meng Qu, Qiaozhu Mei:
Identity-sensitive Word Embedding through Heterogeneous Networks. CoRR abs/1611.09878 (2016) - 2015
- [c5]Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Hao Zhong, Yanjie Fu:
Station Site Optimization in Bike Sharing Systems. ICDM 2015: 883-888 - [c4]Jian Tang, Meng Qu, Qiaozhu Mei:
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD 2015: 1165-1174 - [c3]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. WWW 2015: 1067-1077 - [i2]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. CoRR abs/1503.03578 (2015) - [i1]Jian Tang, Meng Qu, Qiaozhu Mei:
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. CoRR abs/1508.00200 (2015) - 2014
- [c2]Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong:
A cost-effective recommender system for taxi drivers. KDD 2014: 45-54 - 2010
- [c1]Zhimin Liu, Weidong Xiong, Zhizhong Kang, Huizhan Zhang, Meng Qu:
GPS ambiguity resolution of single epoch data using genetic algorithms. ICNC 2010: 2365-2368
Coauthor Index
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