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ORCIDMeng Liu 0015
Person information
- affiliation: Texas A&M University, Department of Computer Science and Engineering, College Station, TX, USA
Other persons with the same name
- Meng Liu — disambiguation page
- Meng Liu 0001
![[0000-0001-9736-8490]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9736-8490")
— Mälardalen University, Västerås, Sweden - Meng Liu 0002 — Huaiyin Normal University, School of Mathematical Science, Huaian, China (and 1 more)
- Meng Liu 0003 — Peking University, School of Electronics Engineering and Computer Science, Cooperative Medianet Innovation Center, Beijing, China
- Meng Liu 0004 — Beijing University of Technology, Faculty of Information Technology, China
- Meng Liu 0005 — Chinese Academy of Science, Institute of Remote Sensing and Digital Earth, Beijing, China
- Meng Liu 0006 — Shandong University, School of Computer Science and Technology, Tsingtao, China (and 1 more)
- Meng Liu 0007 — Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China
- Meng Liu 0008 — Shandong University, School of Information Science and Engineering, Qingdao, China
- Meng Liu 0009 — Chinese Academy of Sciences, Institute of Geographic Science and Natural Resources Research, Beijing, China
- Meng Liu 0010 — Nanjing University, Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing, China
- Meng Liu 0011 — Washington University in St. Louis, MO, USA
- Meng Liu 0012 — Shanghai Jiao Tong University, School of Life Sciences and Biotechnology, 1State Key Laboratory of Microbial Metabolism, Shanghai, China
- Meng Liu 0013 — Beihang University, Beijing, China
- Meng Liu 0014 — National University of Defense Technology, Changsha, Hunan, China (and 1 more)
- Meng Liu 0016 — Xidian University, National Key Laboratory of Radar Signal Processing, Xi'an, China
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2020 – today
- 2024
[j3]Meng Liu, Haiyang Yu, Shuiwang Ji:
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm. Trans. Mach. Learn. Res. 2024 (2024)- [c14]Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji:
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods. ICLR 2024 - [c13]Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
3D Molecular Geometry Analysis with 2D Graphs. SDM 2024: 343-351 - [i21]Montgomery Bohde, Meng Liu, Alexandra Saxton, Shuiwang Ji:
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods. CoRR abs/2403.04929 (2024) - 2023
- [c12]Meng Liu, Haoran Liu, Shuiwang Ji:
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models. ICLR 2023 - [c11]Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou:
Graph Mixup with Soft Alignments. ICML 2023: 21335-21349 - [c10]Minkai Xu, Meng Liu, Wengong Jin, Shuiwang Ji, Jure Leskovec, Stefano Ermon:
Graph and Geometry Generative Modeling for Drug Discovery. KDD 2023: 5833-5834 - [c9]Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji:
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. NeurIPS 2023 - [c8]Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong:
Video Timeline Modeling For News Story Understanding. NeurIPS 2023 - [c7]Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. NeurIPS 2023 - [i20]Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
3D Molecular Geometry Analysis with 2D Graphs. CoRR abs/2305.13315 (2023) - [i19]Shurui Gui, Meng Liu, Xiner Li, Youzhi Luo, Shuiwang Ji:
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization. CoRR abs/2306.01103 (2023) - [i18]Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou:
Graph Mixup with Soft Alignments. CoRR abs/2306.06788 (2023) - [i17]Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji:
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules. CoRR abs/2306.09549 (2023) - [i16]Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji:
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR abs/2307.08423 (2023) - [i15]Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong:
Video Timeline Modeling For News Story Understanding. CoRR abs/2309.13446 (2023) - 2022
- [j2]Meng Liu, Zhengyang Wang, Shuiwang Ji:
Non-Local Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10270-10276 (2022) - [c6]Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji:
Spherical Message Passing for 3D Molecular Graphs. ICLR 2022 - [c5]Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji:
Generating 3D Molecules for Target Protein Binding. ICML 2022: 13912-13924 - [c4]Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji:
GraphFM: Improving Large-Scale GNN Training via Feature Momentum. ICML 2022: 25684-25701 - [c3]Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu:
Frontiers of Graph Neural Networks with DIG. KDD 2022: 4796-4797 - [c2]Meng Liu, Shuiwang Ji:
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences. SDM 2022: 55-63 - [i14]Meng Liu, Shuiwang Ji:
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences. CoRR abs/2202.03341 (2022) - [i13]Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji:
Generating 3D Molecules for Target Protein Binding. CoRR abs/2204.09410 (2022) - [i12]Meng Liu, Haiyang Yu, Shuiwang Ji:
Your Neighbors Are Communicating: Towards Powerful and Scalable Graph Neural Networks. CoRR abs/2206.02059 (2022) - [i11]Haiyang Yu, Limei Wang, Bokun Wang, Meng Liu, Tianbao Yang, Shuiwang Ji:
GraphFM: Improving Large-Scale GNN Training via Feature Momentum. CoRR abs/2206.07161 (2022) - [i10]Meng Liu, Haoran Liu, Shuiwang Ji:
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models. CoRR abs/2210.05782 (2022) - [i9]Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li:
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR abs/2211.11214 (2022) - 2021
- [j1]Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, Shuiwang Ji:
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. J. Mach. Learn. Res. 22: 240:1-240:9 (2021) - [i8]Meng Liu, Keqiang Yan, Bora Oztekin, Shuiwang Ji:
GraphEBM: Molecular Graph Generation with Energy-Based Models. CoRR abs/2102.00546 (2021) - [i7]Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji:
Spherical Message Passing for 3D Graph Networks. CoRR abs/2102.05013 (2021) - [i6]Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji:
DIG: A Turnkey Library for Diving into Graph Deep Learning Research. CoRR abs/2103.12608 (2021) - [i5]Meng Liu, Cong Fu, Xuan Zhang, Limei Wang, Yaochen Xie, Hao Yuan, Youzhi Luo, Zhao Xu, Shenglong Xu, Shuiwang Ji:
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks. CoRR abs/2106.08551 (2021) - [i4]Zhao Xu, Youzhi Luo, Xuan Zhang, Xinyi Xu, Yaochen Xie, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji:
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs. CoRR abs/2110.01717 (2021) - 2020
- [c1]Meng Liu, Hongyang Gao, Shuiwang Ji:
Towards Deeper Graph Neural Networks. KDD 2020: 338-348 - [i3]Meng Liu, Zhengyang Wang, Shuiwang Ji:
Non-Local Graph Neural Networks. CoRR abs/2005.14612 (2020) - [i2]Meng Liu, Hongyang Gao, Shuiwang Ji:
Towards Deeper Graph Neural Networks. CoRR abs/2007.09296 (2020) - [i1]Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji:
MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery. CoRR abs/2012.01981 (2020)
Coauthor Index
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