zouzekun Goto Github PK

adversarial-multiple-source-domain-adaptation

Multiple Source Domain Adaptation with Adversarial Learning

aux-ts

official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"

awesome-attention-based-gnns

A collection of resources on attention-based graph neural networks

epanet

The Water Distribution System Hydraulic and Water Quality Analysis Toolkit

epanet2.2

Perform extended-period simulation of the hydraulic and water quality behavior within drinking water distribution systems

generative-diffusion-models-on-graphs

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt-gnn

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

graphormer

Do Transformers Really Perform Bad for Graph Representation? [NIPS-2021]

igmc

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

moea-d

MOEAD.多目标差分进化算法的学习，Python实现&动态展示过程

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

st-metanet

The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

thu-hyperg

transdim

Machine learning for transportation data imputation and prediction.

transfer-learning-algorithms

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

vision_transformer

zouzekun

Config files for my GitHub profile.