Yun Zhu's Projects
100-Days-Of-ML-Code中文版
:fire: Android developers should collect the following utils(updating).
A curated list of awesome Android UI/UX libraries
papers of distilling Graph Neural Network
the papers of applying gnns into recommender system
sorting the recent papers of graph OOD generalization
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Use DGL to do many tasks(e.g. node classification, link prediction, contrastive learning)
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"
A small GCN demo on Cora dataset
links to conference publications in graph-based deep learning
Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning"
pytorch, cora, small demo
Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"
Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning
Demo for MARIO
text classification, fasttext, python
My awesome README.md
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
Light-Head R-CNN in PyTorch
using resnest as backbone to generate scene graph
simple demo of RL, Q-learning