Cormorant: Covariant molecular neural networks B Anderson, TS Hy, R Kondor Advances in neural information processing systems 32, 2019 | 444 | 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 | 89 | 2018 |
On the Connection Between MPNN and Graph Transformer C Cai, TS Hy, R Yu, Y Wang ICML 2023, 2023 | 31 | 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 | 27 | 2020 |
Multiresolution Equivariant Graph Variational Autoencoder TS Hy, R Kondor Machine Learning: Science and Technology 4, 015-031, 2023 | 14 | 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 |
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 |
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction TS Hy, VB Nguyen, L Tran-Thanh, R Kondor Proceedings of the 1st Workshop on Healthcare AI and COVID-19, ICML 2022 184 …, 2022 | 10 | 2022 |
ViDeBERTa: A powerful pre-trained language model for Vietnamese CD Tran, NH Pham, A Nguyen, TS Hy, T Vu EACL 2023, 2023 | 7 | 2023 |
Multiresolution Matrix Factorization and Wavelet Networks on Graphs TS Hy, R Kondor Proceedings of Topological, Algebraic, and Geometric Learning Workshops 2022 …, 2022 | 7 | 2022 |
Molecular Fingerprints Are a Simple Yet Effective Solution to the Drug–Drug Interaction Problem Y Long, H Pan, C Zhang, HT Son, R Kondor, A Rzhetsky ICML 2022 Workshop on Computational Biology, 2022 | 5 | 2022 |
Multimodal Pretraining for Unsupervised Protein Representation Learning VTD Nguyen, TS Hy bioRxiv, 2023.11. 29.569288, 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 | 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 |
Protein design by directed evolution guided by large language models TVT Tran, TS Hy bioRxiv, 2023.11. 28.568945, 2023 | 2 | 2023 |
Fast Temporal Wavelet Graph Neural Networks DT Nguyen, MDT Nguyen, TS Hy, R Kondor Temporal Graph Learning Workshop @ NeurIPS 2023, 2023 | 2 | 2023 |
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 |
Target-aware variational auto-encoders for ligand generation with multi-modal protein modeling K Ngo, TS Hy NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023 | 1 | 2023 |
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 |