A collection of AWESOME things about Graph-Related LLMs.

Joint Pre-Encoding Representation and Sturcture Embedding for Efficient and Low-Resource Knowledge Graph Completion

LLM training in simple, raw C/CUDA

Awesome papers about unifying LLMs and KGs

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）

🇨🇳🇨🇳🇨🇳这个repo是为了那些准备死磕 计算机考研 4️⃣0️⃣8️⃣的考研党准备的，当然你如果4门课中的部分也可以看看，欢迎star📝📝📝，祝你们一战成硕🏆🏆🏆~~（更新23年大纲变化----2023年408和数学基本无变化）

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data