codewithlrz's Stars
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
gusye1234/LightGCN-PyTorch
The PyTorch implementation of LightGCN
EdisonLeeeee/Graph-Adversarial-Learning
A curated collection of adversarial attack and defense on graph data.
KDEGroup/ShillingAttackReadingList
Paper Reading list for Shilling Attack and Defense on Recommender Systems
rahulk207/nicki
jumxglhf/G2A2C
Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
tamlhp/awesome-recsys-poisoning
A Survey of Poisoning Attacks and Defenses in Recommender Systems
ChandlerBang/pytorch-gnn-meta-attack
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
KingGugu/DA-CL-4Rec
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
enoche/MMRec
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
HKUDS/MMSSL
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
HKUDS/LLMRec
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
fengdu78/lihang-code
《统计学习方法》的代码实现
zll17/Neural_Topic_Models
Implementation of topic models based on neural network approaches.
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
zhulei227/ML_Notes
机器学习算法的公式推导以及numpy实现
zixian2021/AI-interview-cards
最完整的AI算法面试题目仓库,1000道,25个类目
ddbourgin/numpy-ml
Machine learning, in numpy
Estom/notes
一个码农的毕生所学!笔记 & 教程。考研,就业,上学.语言篇,Android,C++,Java,JavaScript,Latex,MATLAB,NodeJS,PHP,Python,技术篇,docker,git,Linux,Maven,office,Spark,Spring,SVN,基础篇,编译原理,操作系统,单片机,计算机网络,计算机网络实验,架构模式,软件文档写作,设计模式,数据结构,数据库,算法,UML建模,Windows程序设计,数学篇,概率论与数理统计,微积分,线性代数,张量,机器学习篇,机器学习,pytorch,sklearn,TensorFlow