- Note 1: The papers from the database/data science communities are marked with 🌟.
 - Note 2: From Nov 2023, I started to add papers related to LLM in each session, marked with 🔥.
 
- Survey of Knowledge Graphs - General Concepts, Scientific Problems, Applications, Challenges, and Directions) [link]
 
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Knowledge Graph Construction (Demo or System) [link]
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About Domain-Specific Knowledge Bases [link]
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About Multi-Modal Knowledge Graph (MMKG) [link]
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Named Entity Recognition, Entity Extraction and Entity Typing [link]
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Coreference Resolution [link]
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Entity Linking and Entity Disambiguation [link]
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Entity Resolution, Entity Matching and Entity Alignment [link]
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General Relation Extraction [link]
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General Information Extraction and Open Information Extraction [link]
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Relation Linking and Relation Disambiguation [link]
 
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Knowledge Graph Embedding, Learning, Reasoning, Rule Mining, and Path Finding [link]
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Knowledge Base Refinement (Incompleteness, Incorrectness, and Freshness) [link]
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Knowledge Fusion, Cleaning, Evaluation and Truth Discovery [link]
 
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Knowledge Graph Question Answering (KGQA) [link]
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Knowledge Graph Recommendation [link]
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Knowledge Graph Enhanced Machine Learning [link]
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Knowledge Graphs and Large Language Models (LLMs) [link] 🔥🔥🔥
 
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Knowledge Graph Representation (RDF and Property Graph), Schema and Query [link]
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Knowledge Graph Taxonomy/Ontology Construction and Improvement [link]
 
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Graph Databases [Link]
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Other Interesting Research Works [link]
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Good DB Papers [link]
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Tutorials and Notes of Other Related Insightful Topics [Link]
 
Note: Papers from SIGMOD/VLDB/ICDE/KDD/TKDE/VLDBJ
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.
- An introduction to knowledge graph and knowledge extraction from unstructured text. [Link]
 - Information Extraction by Niranjan Balasubramanian {Slides in my Mac}
 - CS 520 - Knowledge Graphs (seminar) - provided by Stanford
 - OpenKG.cn
 
- A Collection of KG Surveys, Papers (WWW+ACL+AAAI) and Data [GitHub]
 - KG SOTA [GitHub]
 - Awesome KG tutorials/papers/projects/communities [GitHub]
 - KG SOTA (Chinese) [Zhihu]
 - Tracking Progress in Natural Language Processing [GitHub]
 - KG Embedding SOTA [GitHub]
 - Entity Related Papers [GitHub]
 - Information Extraction Resources [GitHub]
 - KGQA [Giters]
 - Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities [GitHub]
 - KG-LLM-Papers [Link]
 - Awesome LLM-KGs [Link]
 
- Knowledge Engineering Group, Tsinghua University [Paper link]
 - HKUST-KnowComp, The Hong Kong University of Science and Technology [Github]
 - HKUST KNOWLEDGE BASE GROUP, The Hong Kong University of Science and Technology [Website]
 - ...
 
You may refer to this collection for more details: [Github]
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.
- WikiData [Link]
 - DBPedia [Link]
 - Yago [Link]
 - Google Knowledge Graph (Freebase) [Link]
 - Chinese OwnThink Knowledge Graph [Link]
 
- From Freebase to Wikidata: The Great Migration [Paper and useful links]
 - SPARQL tutorial [Link]
 - Installing and running ElasticSearch [Link]
 - Open KG on COVID-19 [Link]
 - BOOKNLP [Link] (Pronominal Coreference Resolution, a natural language processing pipeline that scales to books and other long documents (in English))
 - Wikidata Integrator [GitHub]
 - OpenTapioca [Link]
 - Grakn KGLIB (Knowledge Graph Library) [GitHub]
 - SPARQL server on Freebase [GitHub] [About VOS]
 - LATEX Code Search [Link]
 
I have listed more tools/benchmarks/APIs/demos in each sub-page of different topics in this repo. Feel free to check!