Research Topics in Knowledge Graph

Papers and Materials from All Areas

• Note 1: The papers from the database/data science communities are marked with 🌟.
• Note 2: In Nov 2023, I start to add a new session related to LLM in each topic. 🔥

0. Overview

• Survey of Knowledge Graphs - General Concepts, Scientific Problems, Applications, Challenges, and Directions) [link]

1. Knowledge Extraction and Integration to Construct KGs

• Knowledge Base 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]

2. Mining and Refinement of KGs

• 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]

3. Applications Supported by KGs

• Knowledge Graph Question Answering (KGQA) [link]

• Knowledge Graph Recommendation [link]

• Knowledge Graph Enhanced Machine Learning [link]

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

4. Schema and Query of KGs

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

• Knowledge Graph Taxonomy Construction and Improvement [link]

5. Others

• Other Interesting Research Works [link]

• Good DB Papers [link]

• Tutorials and Notes of Other Related Insightful Topics [Link]

Papers and Materials from the Database/Data Science Communities

Note: Papers from SIGMOD/VLDB/ICDE/KDD/TKDE/VLDBJ

[2018] [2019] [2020] [2021] [2022] [2023] [2024] [2025]

Tutorials and Notes from Talented People

Tutorials, Discussion, Courses and Communities

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

GitHub Repos that Summarize the Papers/Projects/Data related to Knowledge Graphs

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. Knowledge Graph Construction (from zero to everything, in Chinese) [GitHub]
5. KG SOTA (Chinese) [Zhihu]
6. Tracking Progress in Natural Language Processing [GitHub]
7. KG Embedding SOTA [GitHub]
8. Entity Related Papers [GitHub]
9. Information Extraction Resources [GitHub]
10. KGQA [Giters]
11. Open-Environment Knowledge Graph Construction and Reasoning: Challenges, Approaches, and Opportunities [GitHub]
12. KG-LLM-Papers [Link]
13. Awesome LLM-KGs [Link]

Useful Tools or APIs

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!