Meng Qu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 75

Top Topics

Graph Classification

Diabetic Retinopathy

Relation Extraction

Top Venues

Publications

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 (2024)
Meng Qu
Exploring patron behavior in an academic library: A wi-fi-connection data analysis. Educ. Inf. Technol. 29 (9) (2024)
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) (2024)
Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin
L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. Data Min. Knowl. Discov. 38 (2) (2024)
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) (2023)
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 (2023)
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
GraphText: Graph Reasoning in Text Space. CoRR (2023)
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)
Yu Li, Meng Qu, Jian Tang, Yi Chang
Signed Laplacian Graph Neural Networks. AAAI (2023)
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. WSDM (2022)
Meng Qu, Huiyu Cai, Jian Tang
Neural Structured Prediction for Inductive Node Classification. ICLR (2022)
Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
Structured Multi-task Learning for Molecular Property Prediction. CoRR (2022)
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 (2022)
Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
Structured Multi-task Learning for Molecular Property Prediction. AISTATS (2022)
Meng Qu, Huiyu Cai, Jian Tang
Neural Structured Prediction for Inductive Node Classification. CoRR (2022)
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 (2022)
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)
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)
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. CoRR (2022)
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) (2022)
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 (2022)
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) (2022)
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) (2022)
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 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)
Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He
Knowledge graph embedding with shared latent semantic units. Neural Networks 139 (2021)
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)
Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
Joint Modeling of Visual Objects and Relations for Scene Graph Generation. NeurIPS (2021)
Meng Qu, Junkun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. ICLR (2021)
Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. EMNLP (1) (2020)
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. ICML (2020)
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. CoRR (2020)
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)
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 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 (2020)
Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
Continuous Graph Neural Networks. ICML (2020)
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 (2020)
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 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 (2020)
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 (2020)
Meng Qu, Junkun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. CoRR (2020)
Meng Qu, Yoshua Bengio, Jian Tang
GMNN: Graph Markov Neural Networks. ICML (2019)
Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. WWW (2019)
Shagun Sodhani, Meng Qu, Jian Tang
Attending Over Triads for Learning Signed Network Embedding. Frontiers Big Data 2 (2019)
Meng Qu, Jian Tang, Yoshua Bengio
Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. CoRR (2019)
Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
Continuous Graph Neural Networks. CoRR (2019)
Meng Qu, Jian Tang
Probabilistic Logic Neural Networks for Reasoning. NeurIPS (2019)
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)
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 (2019)
Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. WWW (2019)
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren
Collaborative Policy Learning for Open Knowledge Graph Reasoning. EMNLP/IJCNLP (1) (2019)
Meng Qu, Yoshua Bengio, Jian Tang
GMNN: Graph Markov Neural Networks. CoRR (2019)
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren
Collaborative Policy Learning for Open Knowledge Graph Reasoning. CoRR (2019)
Vikas Verma, Meng Qu, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. CoRR (2019)
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. CoRR (2019)
Meng Qu, Jian Tang
Probabilistic Logic Neural Networks for Reasoning. CoRR (2019)
Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. CoRR (2019)
Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP (2018)
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)
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. WWW (2018)
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) (2018)
Meng Qu, Jian Tang, Jiawei Han
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM (2018)
Sheng Wang, Meng Qu, Jian Peng
ProSNet: integrating homology with molecular networks for protein function prediction. PSB (2017)
Meng Qu, Xiang Ren, Jiawei Han
Automatic Synonym Discovery with Knowledge Bases. CoRR (2017)
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)
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR (2017)
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)
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR (2017)
Meng Qu, Xiang Ren, Jiawei Han
Automatic Synonym Discovery with Knowledge Bases. KDD (2017)
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 (2017)
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)
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)
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 (2016)
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 (2016)
Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong
Unified Point-of-Interest Recommendation with Temporal Interval Assessment. KDD (2016)
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)
Jian Tang, Meng Qu, Qiaozhu Mei
Identity-sensitive Word Embedding through Heterogeneous Networks. CoRR (2016)
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 (2016)
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)
Jian Tang, Meng Qu, Qiaozhu Mei
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD (2015)
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
LINE: Large-scale Information Network Embedding. CoRR (2015)
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
LINE: Large-scale Information Network Embedding. WWW (2015)
Jian Tang, Meng Qu, Qiaozhu Mei
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. CoRR (2015)
Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong
A cost-effective recommender system for taxi drivers. KDD (2014)
Zhimin Liu, Weidong Xiong, Zhizhong Kang, Huizhan Zhang, Meng Qu
GPS ambiguity resolution of single epoch data using genetic algorithms. ICNC (2010)