Meng Qu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
15
Active years
2010–2023
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AAAI | Signed Laplacian Graph Neural Networks. | Yu Li, Meng Qu, Jian Tang, Yi Chang |
| 2023 | ICLR | Learning on Large-scale Text-attributed Graphs via Variational Inference. | Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang |
| 2022 | AISTATS | Structured Multi-task Learning for Molecular Property Prediction. | Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang |
| 2022 | ICDE | DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning. | Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang |
| 2022 | ICLR | Neural Structured Prediction for Inductive Node Classification. | Meng Qu, Huiyu Cai, Jian Tang |
| 2022 | IJCAI | TGNN: A Joint Semi-supervised Framework for Graph-level Classification. | Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang |
| 2022 | WSDM | KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification. | Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang |
| 2021 | AAAI | GraphMix: Improved Training of GNNs for Semi-Supervised Learning. | Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang |
| 2021 | ICLR | Predicting Infectiousness for Proactive Contact Tracing. | Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Mller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gatan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schlkopf, Abhinav Sharma, Jian Tang, Andrew Williams |
| 2021 | ICLR | RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. | Meng Qu, Jun-Kun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang |
| 2020 | EMNLP | Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. | Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren |
| 2020 | ICML | Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. | Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang |
| 2020 | ICML | Continuous Graph Neural Networks. | Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang |
| 2019 | EMNLP | Collaborative Policy Learning for Open Knowledge Graph Reasoning. | Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren |
| 2019 | ICML | GMNN: Graph Markov Neural Networks. | Meng Qu, Yoshua Bengio, Jian Tang |
| 2019 | WWW | Learning Dual Retrieval Module for Semi-supervised Relation Extraction. | Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren |
| 2019 | WWW | GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. | Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu |
| 2018 | EMNLP | Knowledge Graph Embedding with Hierarchical Relation Structure. | Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He |
| 2018 | KDD | TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. | Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han |
| 2018 | WWW | Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. | Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han |
| 2018 | WSDM | Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. | Meng Qu, Jian Tang, Jiawei Han |
| 2017 | ACL | Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. | 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 |
| 2017 | CIKM | An Attention-based Collaboration Framework for Multi-View Network Representation Learning. | Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han |
| 2017 | KDD | Automatic Synonym Discovery with Knowledge Bases. | Meng Qu, Xiang Ren, Jiawei Han |
| 2017 | PSB | ProSNet: integrating homology with molecular networks for protein function prediction. | Sheng Wang, Meng Qu, Jian Peng |
| 2017 | WWW | CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. | Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han |
| 2016 | EMNLP | AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. | Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han |
| 2016 | KDD | Unified Point-of-Interest Recommendation with Temporal Interval Assessment. | Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong |
| 2016 | KDD | Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. | Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han |
| 2015 | ICDM | Station Site Optimization in Bike Sharing Systems. | Junming Liu, Qiao Li, Meng Qu, Weiwei Chen, Jingyuan Yang, Hui Xiong, Hao Zhong, Yanjie Fu |
| 2015 | KDD | PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. | Jian Tang, Meng Qu, Qiaozhu Mei |
| 2015 | WWW | LINE: Large-scale Information Network Embedding. | Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei |
| 2014 | KDD | A cost-effective recommender system for taxi drivers. | Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong |
| 2010 | ICNC | GPS ambiguity resolution of single epoch data using genetic algorithms. | Zhimin Liu, Weidong Xiong, Zhizhong Kang, Huizhan Zhang, Meng Qu |