Meng Qu   瞿锰

I am a final-year PhD student at Mila - Quebec AI Institute supervised by Prof. Jian Tang. Before coming to Mila, I received my master's degree from University of Illinois at Urbana-Champaign, where I was supervised by Prof. Jiawei Han. In addition, I received my bachelor's degree from Peking University, and my advisor was Prof. Ming Zhang.

Email: meng.qu at umontreal.ca  /  mengqu25 at gmail.com

Google Scholar

Research

My research interests are in machine learning, drug discovery, and large language models.

Publication
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
ICLR 2023
Oral (top 5%)
Neural Structured Prediction for Inductive Node Classification
Meng Qu*, Huiyu Cai*, Jian Tang
ICLR 2022
Oral (54/3391)
code
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
ICDE 2022
KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
Wei Ju, Junwei Yang, Meng Qu, Weiping Song, Jianhao Shen, Ming Zhang
WSDM 2022
Structured Multi-task Learning for Molecular Property Prediction
Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang
AISTATS 2022
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang
NeurIPS 2021
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu*, Junkun Chen*, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang
ICLR 2021
code
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Muller, Meng Qu, Victor Schmidt, Pierre-luc St-charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, Gaetan Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
ICLR 2021
Graph Policy Network for Transferable Active Learning on Graphs
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
NeurIPS 2020
code
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang
ICML 2020
code
Continuous Graph Neural Networks
Louis-Pascal A. C. Xhonneux*, Meng Qu*, Jian Tang
ICML 2020
code
Probabilistic Logic Neural Networks for Reasoning
Meng Qu, Jian Tang
NeurIPS 2019
code
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang
NeurIPS 2019
code
Collaborative Policy Learning for Open Knowledge Graph Reasoning
Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren
EMNLP 2019
code
GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang
ICML 2019
code
GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
WWW 2019
project page
Learning Dual Retrieval Module for Semi-supervised Relation Extraction
Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren
WWW 2019
code
Attending over Triads for Learning Signed Network Embedding
Shagun Sodhani, Meng Qu, Jian Tang
Frontiers in Big Data 2019
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction
Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P Hanratty, Jing Gao, Jiawei Han
KDD 2018
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning
Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han
WWW 2018
code
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning
Meng Qu, Jian Tang, Jiawei Han
WSDM 2018
code
An Attention-based Collaboration Framework for Multi-View Network Representation Learning
Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han
CIKM 2017
code
Automatic Synonym Discovery with Knowledge Bases
Meng Qu, Xiang Ren, Jiawei Han
KDD 2017
code
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
WWW 2017
code
PROSNET: Integrating Homology with Molecular Networks for Protein Function Prediction
Sheng Wang, Meng Qu, Jian Peng
PSB 2017
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 Weinshilboum, Jiawei Han
ACL 2017 (Demo)
Meta-path Guided Embedding for Similarity Search in Large-scale Heterogeneous Information Networks
Jingbo Shang, Meng Qu, Jialu Liu, Lance M Kaplan, Jiawei Han, Jian Peng
arXiv 2016
code
Label Noise Reduction in Entity Typing by Heterogeneous Partial-label Embedding
Xiang Ren, Wenqi He, Meng Qu, Clare R Voss, Heng Ji, Jiawei Han
KDD 2016
code
Afet: Automatic Fine-grained Entity Typing by Hierarchical Partial-label Embedding
Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han
EMNLP 2016
code
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks
Jian Tang, Meng Qu, Qiaozhu Mei
KDD 2015
code
LINE: Large-scale Information Network Embedding
Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei
WWW 2015
Cited over 5000 times
code
Services

PC member of EMNLP 2019, AAAI 2020, ICML 2020, NeurIPS 2020, ICML 2021, ICLR 2022, ICML 2022, NeurIPS 2022, ICLR 2023, ICML 2023, NeurIPS 2023.

Awards

Travel award, NeurIPS 2019.

Honorable mention of research excellence award, Data Mining Group at UIUC, 2017.

Travel award, KDD 2017.


The template of the page is from Jon Barron.