shmqaq Goto Github PK

3d-emgp

[AAAI 2023] The implementation for the paper "Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs"

applied-deep-learning

Source Code for 'Applied Deep Learning' by Umberto Michelucci

book1_python-for-beginners

Book_1_《编程不难》 | 鸢尾花书：从加减乘除到机器学习；已文件还会经过至少两轮修改，改动会很大，大家注意下载最新版本。请多提意见，谢谢

data-science-notes

数据科学的笔记

graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

himol

hob-pred-using-transfer-learning

hypernetworks

kiscbert

meta-mgnn

Few-Shot Graph Learning for Molecular Property Prediction

molfiltergan

o-gnn

physics-aware-multiplex-gnn

Code for our Nature Scientific Reports paper "A universal framework for accurate and efficient geometric deep learning of molecular systems"

rogi-results

sagnn-substructure-aware-graph-neural-networks

Official implementation of SAGNN

sat

Official Pytorch code for Structure-Aware Transformer.

shmqaq.github.io

smg-bert

srmgnn

graduation design