This article organizes the handouts of Southeast University's 2023 graduate courses, as well as the must-read classic papers recommended by it for each subdivision direction. At the same time, it also tries its best to integrate corresponding blogs, data sets and related codes on the Internet. I hope to help you avoid detours when learning knowledge graphs, and save you the time of searching for various information. It took two weeks and it was not easy to sort out. I hope it can be helpful to everyone.
All the series of materials listed below can be saved to my collection with one click in the upper right corner, and all favorite URLs can be managed completely free of charge. Each card represents a URL, which can be accessed by clicking.
You can manage all URLs at the directory level, as shown in the figure below
1 Handouts for 2023 graduate courses of Southeast University
The extraction code is unified as kgkg
![](https://img-blog.csdnimg.cn/img_convert/f92a9f8d47f7eab15f3315039a1a2aa6.png)
2 Knowledge Graph-Knowledge Graph Construction Classic Papers and Interpretation Blog
3 Knowledge Graph - Knowledge Extraction
3.1 Knowledge Graph - Knowledge Extraction - Information Extraction
3.2 Knowledge Graph - Knowledge Extraction - Entity Recognition
3.3 Knowledge Graph-Knowledge Extraction-Relationship Extraction
3.4 Knowledge Graph - Knowledge Extraction - Event Extraction
4 Knowledge Graph - Knowledge Fusion
5 Knowledge Graph-Knowledge Embedding
5.1 Knowledge Graph-Knowledge Embedding-Overview and Basic Model
5.2 Knowledge Graph - Knowledge Embedding - Basic Model 2
Knowledge Graph-Knowledge Embedding-Basic Model Recommended Papers and Paper Interpretation
5.3 Knowledge graph-knowledge embedding-multi-source information hybrid model
6 Knowledge graph-knowledge reasoning (mining)
7 Knowledge Graph - Knowledge Storage
8 Knowledge Graph - Human-Computer Interaction
Organized from GitHub - npubird/KnowledgeGraphCourse: Southeast University "Knowledge Graph" graduate course