Repository files navigation

• 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]

• Knowledge Graph Construction (Demo or System)[link]

• About Domain-Specific Knowledge Bases[link]

• About Multi-Modal Knowledge Graph (MMKG) [link]

• Named Entity Recognition, Entity Extraction and Entity Typing[link]

• Coreference Resolution[link]

• Entity Linking and Entity Disambiguation[link]

• Entity Resolution, Entity Matching and Entity Alignment[link]

• General Relation Extraction[link]

• General Information Extraction and Open Information Extraction[link]

• Relation Linking and Relation Disambiguation[link]

• Knowledge Graph Embedding, Learning, Reasoning, Rule Mining, and Path Finding[link]

• Knowledge Base Refinement (Incompleteness, Incorrectness, and Freshness)[link]

• Knowledge Fusion, Cleaning, Evaluation and Truth Discovery[link]

• Knowledge Graph Question Answering (KGQA)[link]

• Knowledge Graph Recommendation[link]

• Knowledge Graph Enhanced Machine Learning[link]

• Knowledge Graphs and Large Language Models (LLMs)[link] 🔥🔥🔥

  • Knowledge Graphs in RAG [Link]
  • Knowledge Graphs in Agent Memory [Link]

• Knowledge Graph Representation (RDF and Property Graph), Schema and Query[link]

• Knowledge Graph Taxonomy/Ontology Construction and Improvement [link]

• Graph Databases [Link]

• Other Interesting Research Works[link]

• Good DB Papers[link]

• 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.

1. An introduction to knowledge graph and knowledge extraction from unstructured text. [Link]
2. Information Extraction by Niranjan Balasubramanian {Slides in my Mac}
3. CS 520 - Knowledge Graphs (seminar) - provided by Stanford
4. OpenKG.cn

1. A Collection of KG Surveys, Papers (WWW+ACL+AAAI) and Data [GitHub]
2. KG SOTA [GitHub]
3. Awesome KG tutorials/papers/projects/communities [GitHub]
4. KG SOTA (Chinese) [Zhihu]
5. Tracking Progress in Natural Language Processing [GitHub]
6. KG Embedding SOTA [GitHub]
7. Entity Related Papers [GitHub]
8. Information Extraction Resources [GitHub]
9. KGQA [Giters]
10. Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities [GitHub]
11. KG-LLM-Papers [Link]
12. Awesome LLM-KGs [Link]

1. Knowledge Engineering Group, Tsinghua University [Paper link]
2. HKUST-KnowComp, The Hong Kong University of Science and Technology [Github]
3. HKUST KNOWLEDGE BASE GROUP, The Hong Kong University of Science and Technology [Website]
4. ...

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.

1. WikiData [Link]
2. DBPedia [Link]
3. Yago [Link]
4. Google Knowledge Graph (Freebase) [Link]
5. Chinese OwnThink Knowledge Graph [Link]

1. From Freebase to Wikidata: The Great Migration [Paper and useful links]
2. SPARQL tutorial [Link]
3. Installing and running ElasticSearch [Link]
4. Open KG on COVID-19 [Link]
5. BOOKNLP [Link] (Pronominal Coreference Resolution, a natural language processing pipeline that scales to books and other long documents (in English))
6. Wikidata Integrator [GitHub]
7. OpenTapioca [Link]
8. Grakn KGLIB (Knowledge Graph Library) [GitHub]
9. SPARQL server on Freebase [GitHub] [About VOS]
10. 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!