Qu, Meng

18 publications

NeurIPSW 2024 GraphText: Graph Reasoning in Text Space Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang

ICLRW 2024 Prioritizing Safeguarding over Autonomy: Risks of LLM Agents for Science 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

ICLR 2023 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

AAAI 2023 Signed Laplacian Graph Neural Networks Yu Li, Meng Qu, Jian Tang, Yi Chang

AISTATS 2022 Structured Multi-Task Learning for Molecular Property Prediction Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang

ICLR 2022 Neural Structured Prediction for Inductive Node Classification Meng Qu, Huiyu Cai, Jian Tang

IJCAI 2022 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

AAAI 2021 GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang

NeurIPS 2021 Joint Modeling of Visual Objects and Relations for Scene Graph Generation Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang

NeurIPSW 2021 Multi-Task Learning with Domain Knowledge for Molecular Property Prediction Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang

ICLR 2021 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 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs Meng Qu, Junkun Chen, Louis-Pascal Xhonneux, Yoshua Bengio, Jian Tang

ICML 2020 Continuous Graph Neural Networks Louis-Pascal Xhonneux, Meng Qu, Jian Tang

ICML 2020 Few-Shot Relation Extraction via Bayesian Meta-Learning on Relation Graphs Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux, Jian Tang

NeurIPS 2020 Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang

ICML 2019 GMNN: Graph Markov Neural Networks Meng Qu, Yoshua Bengio, Jian Tang

NeurIPS 2019 Probabilistic Logic Neural Networks for Reasoning Meng Qu, Jian Tang

NeurIPS 2019 vGraph: A Generative Model for Joint Community Detection and Node Representation Learning Fan-Yun Sun, Meng Qu, Jordan Hoffmann, Chin-Wei Huang, Jian Tang