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Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
A search engine dedicated to CS conferences. It provides useful filters for conferences and year range.
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
The PyTorch implementation of LightGCN
A curated collection of adversarial attack and defense on graph data.
Paper Reading list for Shilling Attack and Defense on Recommender Systems
Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
A Survey of Poisoning Attacks and Defenses in Recommender Systems
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
《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
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
手写实现李航《统计学习方法》书中全部算法
Implementation of topic models based on neural network approaches.
Awesome-LLM: a curated list of Large Language Model
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…