vinhsuhi Goto Github PK

bert-int

dialign

diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

docker-mongodb

dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

dpm-solver-v3

Official code for "DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics" (NeurIPS 2023)

emgcn

This is an implementation of the paper Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks

equibind

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein

galign

This is the code of the paper: Adaptive Network Alignment with Multi-order Convolutional Networks

geodiff

Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).

geoldm

Geometric Latent Diffusion Models for 3D Molecule Generation

gnn-noge

Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)

graphein

Protein Graph Library

jmac

Joint Multilingual Knowledge Graph Completion and Alignment (Findings of EMNLP 2022) (Pytorch)

knowledge-graph-tutorials-and-papers

Insightful Tutorials and Papers about Knowledge Graphs

papers

pca-ae-vae-diffmodels

Lecture notes on PCA, AEs, VAEs, denoising and diffusion models

psr

The Code of "Are Negative Samples Necessary in Entity Alignment? AnApproach with High Performance, Scalability and Robustness" CIKM 2021

skills-github-pages

My clone repository

swingnn

SwinGNN: diffusion model for graph generation

tankbind

Open source code for TankBind. Galixir Tenchnologies

torsional-diffusion

Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

vinhsuhi

Config files for my GitHub profile.

vocablearningtool

wge