| Cormorant: Covariant molecular neural networks B Anderson, TS Hy, R Kondor Advances in neural information processing systems 32, 2019 | 454 | 2019 |
| Covariant compositional networks for learning graphs R Kondor, HT Son, H Pan, B Anderson, S Trivedi ICLR 2018, 2018 | 144 | 2018 |
| Predicting molecular properties with covariant compositional networks TS Hy, S Trivedi, H Pan, BM Anderson, R Kondor The Journal of chemical physics 148 (24), 2018 | 93 | 2018 |
| On the connection between mpnn and graph transformer C Cai, TS Hy, R Yu, Y Wang International Conference on Machine Learning, 3408-3430, 2023 | 30 | 2023 |
| The general theory of permutation equivarant neural networks and higher order graph variational encoders EH Thiede, TS Hy, R Kondor arXiv preprint arXiv:2004.03990, 2020 | 28 | 2020 |
| Multiresolution equivariant graph variational autoencoder TS Hy, R Kondor Machine Learning: Science and Technology 4 (1), 015031, 2023 | 15 | 2023 |
| Multiresolution graph transformers and wavelet positional encoding for learning long-range and hierarchical structures NK Ngo, TS Hy, R Kondor The Journal of Chemical Physics 159 (3), 2023 | 11 | 2023 |
| Temporal multiresolution graph neural networks for epidemic prediction TS Hy, VB Nguyen, L Tran-Thanh, R Kondor Workshop on Healthcare AI and COVID-19, 21-32, 2022 | 11 | 2022 |
| Covariant compositional networks for learning graphs TS Hy, S Trivedi, H Pan, BM Anderson, R Kondor Proc. International Workshop on Mining and Learning with Graphs (MLG), 2019 | 11 | 2019 |
| ViDeBERTa: A powerful pre-trained language model for Vietnamese CD Tran, NH Pham, A Nguyen, TS Hy, T Vu EACL 2023, 2023 | 9 | 2023 |
| Multiresolution matrix factorization and wavelet networks on graphs TS Hy, R Kondor Topological, Algebraic and Geometric Learning Workshops 2022, 172-182, 2022 | 7 | 2022 |
| Molecular fingerprints are a simple yet effective solution to the drug–drug interaction problem Y Long, H Pan, C Zhang, HT Song, R Kondor, A Rzhetsky ICML 2022 Workshop on Computational Biology, 2022 | 6 | 2022 |
| Multimodal pretraining for unsupervised protein representation learning VT Duy Nguyen, T Son Hy Biology Methods and Protocols, bpae043, 2024 | 3 | 2024 |
| Protein design by directed evolution guided by large language models TVT Tran, TS Hy IEEE Transactions on Evolutionary Computation, 2024 | 3 | 2024 |
| Fast temporal wavelet graph neural networks DT Nguyen, MDT Nguyen, TS Hy, R Kondor Temporal Graph Learning Workshop @ NeurIPS 2023, 2023 | 3 | 2023 |
| Target-aware variational auto-encoders for ligand generation with multimodal protein representation learning NK Ngo, TS Hy Machine Learning in Structural Biology @ NeurIPS 2023, 2023.08. 10.552868, 2023 | 3 | 2023 |
| Graph neural networks with efficient tensor operations in CUDA/GPU and Graphflow deep learning framework in C++ for quantum chemistry HT Son, C Jones GPU and Graphflow Deep Learning Framework in C++ for Quantum Chemistry, 2019 | 3 | 2019 |
| DE-HNN: An effective neural model for Circuit Netlist representation Z Luo, TS Hy, P Tabaghi, D Koh, M Defferrard, E Rezaei, R Carey, ... AISTATS 2024, 2024 | 2 | 2024 |
| Multimodal Protein Representation Learning and Target-aware Variational Auto-encoders for Protein-binding Ligand Generation NK Ngo, TS Hy Machine Learning: Science and Technology 5 (2), 2024 | 1 | 2024 |
| Neural Multigrid Memory For Computational Fluid Dynamics DM Nguyen, MC Vu, TA Nguyen, T Huynh, NT Nguyen, TS Hy arXiv preprint arXiv:2306.12545, 2023 | 1 | 2023 |
Risi KondorAssociate Professor, The University of Chicago在 cs.uchicago.edu 的电子邮件经过验证
