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Overview\n* __Survey of Knowledge Graphs - General Concepts, Scientific Problems, Applications, Challenges, and Directions) [[link](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/overview.md)]__\n\n### 1. Knowledge Extraction and Integration to Construct KGs\n* __Knowledge Graph Construction (Demo or System) [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graph%20Construction%20(Demo%20or%20System).md)__\n\n* __About Domain-Specific Knowledge Bases [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/About%20Domain-Specific%20Knowledge%20Bases.md)__\n\n* __About Multi-Modal Knowledge Graph (MMKG) [[link](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/MMKG.md)]__ \n\n* __Named Entity Recognition, Entity Extraction and Entity Typing [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Named%20Entity%20Recognition%2C%20Entity%20Extraction%20and%20Entity%20Typing.md)__\n\n* __Coreference Resolution [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Coreference%20Resolution.md)__\n\n* __Entity Linking and Entity Disambiguation [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Entity%20Linking%20and%20Entity%20Disambiguation.md)__\n\n* __Entity Resolution, Entity Matching and Entity Alignment [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Entity%20Resolution%2C%20Entity%20Matching%20and%20Entity%20Alignment.md)__\n\n* __General Relation Extraction [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Relation%20Extraction.md)__\n\n* __General Information Extraction and Open Information Extraction [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Open%20Information%20Extraction.md)__\n\n* __Relation Linking and Relation Disambiguation [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Relation%20Linking%20and%20Relation%20Disambiguation.md)__\n\n### 2. Mining and Refinement of KGs\n* __Knowledge Graph Embedding, Learning, Reasoning, Rule Mining, and Path Finding [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graph%20Embedding%2C%20Learning%2C%20Reasoning%2C%20Rule%20Mining%2C%20and%20Path%20Finding.md)__\n\n* __Knowledge Base Refinement (Incompleteness, Incorrectness, and Freshness) [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Base%20Refinement%20(Incompleteness%2C%20Incorrectness%2C%20and%20Freshness).md)__\n\n* __Knowledge Fusion, Cleaning, Evaluation and Truth Discovery [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Fusion%2C%20Cleaning%2C%20Evaluation%20and%20Truth%20Discovery.md)__\n\n### 3. Applications Supported by KGs\n* __Knowledge Graph Question Answering (KGQA) [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graph%20Question%20Answering%20(KGQA).md)__\n\n* __Knowledge Graph Recommendation [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graph%20Recommendation.md)__\n\n* __Knowledge Graph Enhanced Machine Learning [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graph%20Enhanced%20Machine%20Learning.md)__\n\n* __Knowledge Graphs and Large Language Models (LLMs) [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graph%20and%20LLMs.md)__ 🔥🔥🔥\n    * **Knowledge Graphs in RAG [[Link](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graphs%20in%20RAG.md)]**\n    * **Knowledge Graphs in Agent Memory [[Link](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graphs%20in%20Agent%20Memory.md)]**\n\n### 4. Schema and Query of KGs\n* __Knowledge Graph Representation (RDF and Property Graph), Schema and Query [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledg%20Graph%20Representation%20(RDF%20and%20Property%20Graph)%20and%20Schema.md)__\n\n* __Knowledge Graph Taxonomy/Ontology Construction and Improvement [[link](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Knowledge%20Graph%20Taxonomy%20Construction%20and%20Improvement.md)]__ \n\n### 5. Others\n* __Graph Databases [[Link](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Graph%20Databases.md)]__\n\n* __Other Interesting Research Works [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Other%20Interesting%20Works.md)__\n\n* __Good DB Papers [[link]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Good%20DB%20papers.md)__\n\n* __Tutorials and Notes of Other Related Insightful Topics [[Link](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/Tutorials%20and%20Notes%20of%20Other%20Related%20Insightful%20Topics.md)]__\n\n## Papers and Materials from the Database/Data Science Communities\n\u003e Note: Papers from SIGMOD/VLDB/ICDE/KDD/TKDE/VLDBJ\n\n#### [[2018]](https://github.com/heathersherry/Knowledge-Graphs-and-Data-Integration-in-Database-Conferences-2018)  [[2019]](https://github.com/heathersherry/Knowledge-Graphs-and-Data-Integration-in-Database-Conferences-2019)  [[2020]](https://github.com/heathersherry/Knowledge-Graphs-and-Data-Integration-in-Database-Conferences-2020-)  [[2021]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/DB-2021.md)  [[2022]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/DB-2022.md)  [[2023]](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/DB-2023.md) [[2024](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/DB-2024.md)] [[2025](https://github.com/heathersherry/Knowledge-Graph-Tutorials-and-Papers/blob/master/topics/DB-2025.md)]\n\n## Tutorials and Notes from Talented People\n\u003e Note: We only list the general tutorials here. For the surveys or communities of specific topics such as KG Construction, KG4LLM or KG Embedding, please refer to the above detailed sections.\n\n#### Tutorials, Discussion, Courses and Communities\n1. An introduction to knowledge graph and knowledge extraction from unstructured text. [[Link](https://kgtutorial.github.io)]\n2. Information Extraction by Niranjan Balasubramanian {Slides in my Mac}\n3. [CS 520 - Knowledge Graphs (seminar) - provided by Stanford](https://web.stanford.edu/class/cs520/)\n4. [OpenKG.cn](http://www.openkg.cn/home)\n\n#### GitHub Repos that Summarize the Papers/Projects/Data related to Knowledge Graphs\n1. A Collection of KG Surveys, Papers (WWW+ACL+AAAI) and Data [[GitHub](https://github.com/shaoxiongji/knowledge-graphs#survey)]\n2. KG SOTA [[GitHub](https://github.com/impillar/knowledge_graph/blob/master/README.md)]\n3. Awesome KG tutorials/papers/projects/communities [[GitHub](https://github.com/BrambleXu/knowledge-graph-learning)]\n5. KG SOTA (Chinese) [[Zhihu](https://zhuanlan.zhihu.com/p/44904796)]\n6. Tracking Progress in Natural Language Processing [[GitHub](https://github.com/sebastianruder/NLP-progress)]\n7. KG Embedding SOTA [[GitHub](https://github.com/xinguoxia/KGE)]\n8. Entity Related Papers [[GitHub](https://github.com/HelloRusk/entity-related-papers)]\n9. Information Extraction Resources [[GitHub](https://github.com/casnlu/InformationExtraction)]\n10. KGQA [[Giters](https://giters.com/simba0626/Question-Answering)]\n11. Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities [[GitHub](https://openkg-tutorial.github.io/)]\n12. KG-LLM-Papers [[Link](https://github.com/zjukg/KG-LLM-Papers)]\n13. Awesome LLM-KGs [[Link](https://github.com/RManLuo/Awesome-LLM-KG)]\n\n#### Research Groups\n\n1. Knowledge Engineering Group, Tsinghua University [[Paper link](https://keg.cs.tsinghua.edu.cn/research/papers)]\n2. HKUST-KnowComp, The Hong Kong University of Science and Technology [[Github](https://github.com/HKUST-KnowComp)]\n3. HKUST KNOWLEDGE BASE GROUP, The Hong Kong University of Science and Technology [[Website](https://cse.hkust.edu.hk/knowledgegraph/home.html)]\n4. ...\n\nYou may refer to this collection for more details: [[Github](https://github.com/kgsandai/KGs-Research-Group)]\n\n## Knowledge Graph Datasets\n\u003e Note: We only list the general KGs here. For the datasets or benchmarks for specific topics such as KGQA or KG Completion, please refer to the above detailed sections.\n1. WikiData [[Link](https://www.wikidata.org/wiki/Wikidata:Main_Page)]\n2. DBPedia [[Link](https://www.dbpedia.org/)]\n3. Yago [[Link](https://yago-knowledge.org/)]\n4. Google Knowledge Graph (Freebase) [[Link](https://developers.google.com/freebase/guide/basic_concepts)]\n5. Chinese OwnThink Knowledge Graph [[Link](https://github.com/ownthink/KnowledgeGraphData)]\n\n## Useful Tools or APIs\n1. From Freebase to Wikidata: The Great Migration [[Paper and useful links](https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44818.pdf)] \n2. SPARQL tutorial [[Link](https://www.w3.org/2009/Talks/0615-qbe/)]\n3. Installing and running ElasticSearch [[Link](https://www.elastic.co/guide/en/elasticsearch/reference/current/targz.html)]\n4. Open KG on COVID-19 [[Link](http://openkg.cn/dataset/covid-19-research)]\n5. BOOKNLP [[Link](https://github.com/dbamman/book-nlp)] (Pronominal Coreference Resolution, a natural language processing pipeline that scales to books and other long documents (in English))\n6. Wikidata Integrator [[GitHub](https://github.com/SuLab/WikidataIntegrator)]\n7. OpenTapioca [[Link](https://opentapioca.readthedocs.io/en/latest/install.html)]\n8. Grakn KGLIB (Knowledge Graph Library) [[GitHub](https://github.com/graknlabs/kglib)]\n9. SPARQL server on Freebase [[GitHub](https://github.com/xwhan/Freebase-SPARQL-server-on-AWS)] [[About VOS](http://vos.openlinksw.com/owiki/wiki/VOS)]\n10. LATEX Code Search [[Link](https://www.latex4technics.com/codesearch)]\n\nI have listed more tools/benchmarks/APIs/demos in each sub-page of different topics in this repo. Feel free to check!\n","funding_links":[],"categories":["Other Lists","Transformer-based Model \u003cspan id=\"transformer-based-models-\"\u003e\u003c/span\u003e"],"sub_categories":["TeX Lists","RNN-agnostic Models \u003cspan id=\"rnn-agnostic-models-\"\u003e\u003c/span\u003e"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fheathersherry%2FKnowledge-Graph-Tutorials-and-Papers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fheathersherry%2FKnowledge-Graph-Tutorials-and-Papers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fheathersherry%2FKnowledge-Graph-Tutorials-and-Papers/lists"}