עקוב אחר
Meng Liu
Meng Liu
Research Scientist, NVIDIA
כתובת אימייל מאומתת בדומיין nvidia.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Towards deeper graph neural networks‏
M Liu, H Gao, S Ji‏
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020‏
6842020
Spherical message passing for 3d molecular graphs‏
Y Liu, L Wang, M Liu, Y Lin, X Zhang, B Oztekin, S Ji‏
International Conference on Learning Representations (ICLR), 2022‏
337*2022
Non-local graph neural networks‏
M Liu, Z Wang, S Ji‏
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021‏
2032021
DIG: A turnkey library for diving into graph deep learning research‏
M Liu, Y Luo, L Wang, Y Xie, H Yuan, S Gui, H Yu, Z Xu, J Zhang, Y Liu, ...‏
Journal of Machine Learning Research 22 (240), 1-9, 2021‏
148*2021
Generating 3d molecules for target protein binding‏
M Liu, Y Luo, K Uchino, K Maruhashi, S Ji‏
International Conference on Machine Learning, 13912-13924, 2022‏
1412022
Artificial intelligence for science in quantum, atomistic, and continuum systems‏
X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ...‏
arXiv preprint arXiv:2307.08423, 2023‏
1282023
Advanced graph and sequence neural networks for molecular property prediction and drug discovery‏
Z Wang, M Liu, Y Luo, Z Xu, Y Xie, L Wang, L Cai, Q Qi, Z Yuan, T Yang, ...‏
Bioinformatics 38 (9), 2579-2586, 2022‏
1242022
Graphebm: Molecular graph generation with energy-based models‏
M Liu, K Yan, B Oztekin, S Ji‏
arXiv preprint arXiv:2102.00546, 2021‏
1052021
Diffbp: Generative diffusion of 3d molecules for target protein binding‏
H Lin, Y Huang, O Zhang, S Ma, M Liu, X Li, L Wu, J Wang, T Hou, SZ Li‏
Chemical Science 16 (3), 1417-1431, 2025‏
772025
GraphFM: Improving large-scale GNN training via feature momentum‏
H Yu, L Wang, B Wang, M Liu, T Yang, S Ji‏
International conference on machine learning, 25684-25701, 2022‏
432022
Joint learning of label and environment causal independence for graph out-of-distribution generalization‏
S Gui, M Liu, X Li, Y Luo, S Ji‏
Advances in Neural Information Processing Systems 36, 3945-3978, 2023‏
422023
Molecule3d: A benchmark for predicting 3d geometries from molecular graphs‏
Z Xu, Y Luo, X Zhang, X Xu, Y Xie, M Liu, K Dickerson, C Deng, M Nakata, ...‏
arXiv preprint arXiv:2110.01717, 2021‏
402021
Graph mixup with soft alignments‏
H Ling, Z Jiang, M Liu, S Ji, N Zou‏
International Conference on Machine Learning, 21335-21349, 2023‏
352023
Qh9: A quantum hamiltonian prediction benchmark for qm9 molecules‏
H Yu, M Liu, Y Luo, A Strasser, X Qian, X Qian, S Ji‏
Advances in Neural Information Processing Systems 36, 40487-40503, 2023‏
192023
Fast quantum property prediction via deeper 2d and 3d graph networks‏
M Liu, C Fu, X Zhang, L Wang, Y Xie, H Yuan, Y Luo, Z Xu, S Xu, S Ji‏
arXiv preprint arXiv:2106.08551, 2021‏
142021
On the markov property of neural algorithmic reasoning: Analyses and methods‏
M Bohde, M Liu, A Saxton, S Ji‏
arXiv preprint arXiv:2403.04929, 2024‏
72024
Graph and geometry generative modeling for drug discovery‏
M Xu, M Liu, W Jin, S Ji, J Leskovec, S Ermon‏
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023‏
72023
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models‏
M Liu, H Liu, S Ji‏
The Eleventh International Conference on Learning Representations, 2022‏
42022
Neighbor2seq: Deep learning on massive graphs by transforming neighbors to sequences‏
M Liu, S Ji‏
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022‏
42022
Molecule Generation with Fragment Retrieval Augmentation‏
S Lee, K Kreis, S Veccham, M Liu, D Reidenbach, S Paliwal, A Vahdat, ...‏
Advances in Neural Information Processing Systems 37, 132463-132490, 2025‏
32025
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מאמרים 1–20