HyTruongSon

HyTruongSon's Stars

• HySonLab/LearnMMF

  Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics

  Language:Roff1

• HySonLab/ML4Insects

  Machine Learning for signal processing on insects' behaviors

  Language:Jupyter Notebook3

• HySonLab/Protein_Redesign

  Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models

  Language:Python333

• HySonLab/HierAttention

  Scalable Hierarchical Self-Attention with Learnable Hierarchy for Long-Range Interactions

  Language:Python7

• YusuLab/chips

  DE-HNN: An effective neural model for Circuit Netlist representation

  Language:Python62

• XiaoxinHe/Awesome-Graph-LLM

  A collection of AWESOME things about Graph-Related LLMs.

  1.5k107

• HySonLab/LatentDE

  Latent-based Directed Evolution guided by Gradient Ascent for Protein Design

  Language:Python20

• FSoft-AI4Code/HierarchyNet

  Language:Python4

• HySonLab/EquiMesh

  E(3)-Equivariant Mesh Neural Networks (AISTATS 2024)

  Language:Python71

• HySonLab/Protein_Pretrain

  Multimodal Pretraining for Unsupervised Protein Representation Learning

  Language:Python91

• HySonLab/Directed_Evolution

  Protein Design by Machine Learning guided Directed Evolution

  Language:Python182

• HySonLab/Chinese_Postman_Problem

  The Chinese Postman Problem with load-dependent costs

  Language:C++4

• KhanhTungTran/MGL4MEP

  MGL4MEP: Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data

  Language:Python31

• HySonLab/Multires-NP-hard

  Symmetry-preserving & Multiresolution learning to solve NP-hard problems in Operations Research

  Language:Jupyter Notebook82

• HySonLab/Ligand_Generation

  Target-aware Variational Auto-encoders for Ligand Generation with Multimodal Protein Representation Learning

  Language:Python242

• HySonLab/GraphLASSO

  Sparsity exploitation via discovering graphical models in multi-variate time-series forecasting

  Language:Python10

• Fsoft-AIC/Multires-Graph-Transformer

  [Journal of Chemical Physics] Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures

  Language:Python2

• Combi2k2/MG-Turbulent-Flow

  Language:Jupyter Notebook1

• Chen-Cai-OSU/MPNN-GT-Connection

  Language:Python161

• PaddlePaddle/PaddleHelix

  Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

  Language:Python802189

• HySonLab/pandemic_tgnn

  Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731

  Language:Python42

• HySonLab/TWGNN

  Fast Temporal Wavelet Graph Neural Networks

  Language:Python62

• HyTruongSon/Handwriting-Recognition

  Continuous (free-style, cursive) and separated (character by character) optical character recognition. Algorithms: Neural Network (Multilayer Perceptron) and Dynamic Programming to find the word with maximum probability.

  Language:Java72

• HySonLab/MGVAE

  Higher-order permutation-equivariant graph variational autoencoder to generate molecules in multiresolution manner. https://iopscience.iop.org/article/10.1088/2632-2153/acc0d8

  Language:Python2

• HySonLab/ViDeBERTa

  ViDeBERTa: A powerful pre-trained language model for Vietnamese, EACL 2023

  Language:Jupyter Notebook519

• HySonLab/Multires-Graph-Transformer

  Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures

  Language:Python163

• HySonLab/drug-interactions

  Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)

  Language:Python132

• HyTruongSon/MGVAE

  Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967

  Language:Python173

• bachnguyenTE/temporal-mgn

  Repo containing the code for the Temporal Multiresolution Graph Network

  Language:Python22

• daniilidis-group/spherical-cnn

  Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"

  Language:Python28949