Papers and Materials from All Areas

Note: The papers in database area (or written in database style) are marked with 🌟

Knowledge Extraction and Integration to Construct KGs

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

• About Domain-Specific Knowledge Bases [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]

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]

Applications Supported by KGs

• Knowledge Graph Question Answering (KGQA) [link]

• Knowledge Graph Recommendation [link]

• Knowledge Graph Enhanced Machine Learning [link]

Schema and Query of KGs

• Knowledge Graph Representation (RDF and Property Graph), Schema and Query [link]
• Knowledge Graph Taxonomy Construction and Improvement [link] (TBD)

Others

• Other Interesting Works [link]

• Good DB Papers [link]

Papers and Materials from Database Area

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

2018 [Link]

2019 [Link]

2020 [Link]

2021 [Link]

2022 [Link]

Tutorials and Notes from Talented People

Tutorials, Discussion 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]

Tutorials and Notes of Other Related Insightful Topics

1. Probabilistic Graphical Models: Lagrangian Relaxation Algorithms for Natural Language Processing [Slides]
2. Introduction to Conditional Random Fields [Blog]
3. Network Community Detection: A Review and Visual Survey [Paper]

• Section 2.3. Community Detection Techniques

4. Fast unfolding of communities in large networks [Paper]

• [A discussion of the Louvain method], [wiki of the Louvein Modularity]
• How do they design the function Q: Finding and evaluating community structure in networks [Paper]

5. A compendium of NP optimization problems [Paper]
6. [Notes about LSH]
7. [Survey about Min Hash Sketch]
8. MinHash Tutorial with Python Code: [Notes] [Code]
9. Must-read papers on GNN [GitHub]
10. Graph-based deap learning literatures [GitHub]
11. Data Management for Machine Learning Applications [Course site]
12. Stanford CS224W: Machine Learning with Graphs [Course site]
13. Explainability for Natural Language Processing (AAAI 2020 tutorial) [Link] [Video]
14. Graph Mining & Learning (Neurips 2020 tutorial) [Link]
15. Discussion about GNN (Chinese) [Link]
16. Stanford CS224n: Natural Language Processing with Deep Learning [Course site]
17. Clique Relaxation Models in Networks: Theory, Algorithms, and Applications [Slides]
18. KG Applications in Baidu (Chinese) [Link]
19. Paper Digest (Database area) [Link]
20. Complex Network (Collection of Notes and Tutorials) [GitHub]

Useful Tools or APIs

Named Entity Recogntion and Entity Linking

1. TagMe [Python API] [API] [GitHub1] [GitHub2]
2. Stanford NER [Link]
3. DBpedia Spotlight [Link]
4. NLTK Tagger [Link]
5. SpaCy [Link1] [Link2]
6. EARL (including Relation Linking) [Link]
7. Falcon (including Relatoin Linking) [DBpedia version] [Wikidata version]
8. MonkeyLearn [Link]
9. GERBIL - General Entity Annotator Benchmark [Link]
10. PIKES [Link]

Benchmark Datasets

1. Entity Disambiguation:

• MSNBC and ACE2004 [Link]

2. QA:

• WebQuestions
• QA datasets summary [GitHub]

3. Entity Resolution [GitHub]
4. KGE, KBC and KG Reasoning

• FB13 [Paper]
• FB15K [Paper]
• FB15K237 [Paper]
• WN11 [Paper]
• WN18 [Paper]
• WN18RR [Paper]

Other Useflul Tools

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. SPASQL server on Freebase [GitHub] [About VOS]
10. LATEX Code Search [Link]