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https://github.com/shaoxiongji/knowledge-graphs

A collection of research on knowledge graphs
https://github.com/shaoxiongji/knowledge-graphs

List: knowledge-graphs

commonsense cross-modal dialogue-systems information-retrieval knowledge-graph knowledge-graph-completion meta-relational-learning natural-language-processing ner paper question-answering reasoning recommendation-systems relation-extraction representation-learning survey temporal-knowledge-graph

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A collection of research on knowledge graphs

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# Knowledge Graphs

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A collection of knowledge graph papers, codes, and reading notes.



- [Knowledge Graphs](#knowledge-graphs)

  - [Survey](#survey)

  - [Papers by venues](#papers-by-venues)

  - [Papers by categories](#papers-by-categories)

  - [Data](#data)

    - [General Knowledge Graphs](#general-knowledge-graphs)

    - [Domain-specific Data](#domain-specific-data)

    - [Entity Recognition](#entity-recognition)

    - [Other Collections](#other-collections)

  - [Libraries, Softwares and Tools](#libraries-softwares-and-tools)

    - [KRL Libraries](#krl-libraries)

    - [Knowledge Graph Database](#knowledge-graph-database)

    - [Others](#others)

    - [Interactive APP](#interactive-app)

  - [Courses, Tutorials and Seminars](#courses-tutorials-and-seminars)

    - [Courses](#courses)

  - [Related Repos](#related-repos)

  - [Acknowledgements](#acknowledgements)



## Survey

__A Survey on Knowledge Graphs: Representation, Acquisition and Applications__. IEEE TNNLS 2021. _Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu_. [[Paper](https://arxiv.org/pdf/2002.00388)] 



__Knowledge Graphs__. Preprint 2020. _Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann_. [[Paper](https://arxiv.org/abs/2003.02320)] 



__Knowledge Representation Learning: A Quantitative Review__. Preprint 2018. _Lin, Yankai and Han, Xu and Xie, Ruobing and Liu, Zhiyuan and Sun, Maosong_. [[Paper](https://arxiv.org/pdf/1812.10901)]



__Knowledge graph embedding: A survey of approaches and applications__. TKDE 2017. _Wang, Quan and Mao, Zhendong and Wang, Bin and Guo, Li_. [[Paper](https://persagen.com/files/misc/Wang2017Knowledge.pdf)]



__Knowledge graph refinement: A survey of approaches and evaluation methods__. Semantic Web 2017. _Paulheim, Heiko_. [[Paper](http://www.semantic-web-journal.net/system/files/swj1167.pdf)]



__A review of relational machine learning for knowledge graphs__. Proceedings of the IEEE 2015. _Nickel, Maximilian and Murphy, Kevin and Tresp, Volker and Gabrilovich, Evgeniy_. [[Paper](https://arxiv.org/pdf/1503.00759)]



## Papers by venues

| Year      | WWW                           | AAAI                            |  ACL  | 

| --------  | --------                      | --------                        |  --------                        |              

| 2020      | [20](./conferences/www20.md)  | [28](./conferences/aaai20.md)   |  [53](./conferences/acl20.md)    |



## Papers by categories

- [Knowledge Graph Embedding](./papers/KG-embedding.md)

- [Cross-Modal KG Embedding](./papers/KG-cross-modal.md)

- Knowledge Acquisition

  - [Knowledge Graph Completion](./papers/KG-KGC.md)

  - [Relation Extraction](./papers/KG-RE.md)

  - [Entity Discovery](./papers/KG-entity.md)

- Knowledge-aware Applications

  - [Natural Language Understanding](./papers/KG-applications.md#natural-langauge-understanding)

  - [Commonsense Knowledge](./papers/KG-applications.md#commonsense-knowledge)

  - [Question Answering](./papers/KG-applications.md#question-answering)

  - [Dialogue Systems](./papers/KG-applications.md#dialogue-systems)

  - [Recommendation Systems](./papers/KG-applications.md#recommendation-systems)

  - [Information Retrieval](./papers/KG-applications.md#information-retrieval)

- [Temporal Knowledge Graph](./papers/KG-temporal.md)

- [Knowledge Graph Reasoning](./papers/KG-reasoning.md)

- [One/few-Shot and Zero-Shot Learning](./papers/KG-few-shot.md)

- [Domain-specific Knowledge Graphs](./papers/KG-domain.md)

- [KG Database Systems](./papers/KG-database.md)



## Data

### General Knowledge Graphs

- WordNet, https://wordnet.princeton.edu

- OpenCyc, https://www.cyc.com/opencyc/

- Cyc, https://www.cyc.com

- YAGO, http://www.mpii.mpg.de/∼suchanek/yago

- DBpedia, https://wiki.dbpedia.org/develop/datasets

- Freebase, https://developers.google.com/freebase/

- NELL, http://rtw.ml.cmu.edu/rtw/

- Wikidata, https://www.wikidata.org/wiki

- Probase IsA, https://concept.research.microsoft.com/Home/Download

- Google KG, https://developers.google.com/knowledge-graph

- A large-scale Chinese knowledge graph from [OwnThink](https://github.com/ownthink/KnowledgeGraph)

- GDELT（Global Database of Events, Language, and Tone）[Web](https://www.gdeltproject.org)

- [KGHUB and KGOBO, Biomedical ontologies](https://kg-hub.berkeleybop.io/)

- [PheKnowLator: Heterogeneous Biomedical Knowledge Graphs and Benchmarks Constructed Under Alternative Semantic Models](https://github.com/callahantiff/PheKnowLator)



### Domain-specific Data

__OpenKG knowledge graphs about the novel coronavirus COVID-19__

- 新冠百科图谱 [[链接](http://www.openkg.cn/dataset/2019-ncov-baike)] Knowledge graph from encyclopedia[[Link](http://www.openkg.cn/dataset/2019-ncov-baike)]



- 新冠科研图谱 [[链接](http://www.openkg.cn/dataset/2019-ncov-research)] Knowledge graph of COVID-19 research [[Link](http://www.openkg.cn/dataset/2019-ncov-research)]



- 新冠临床图谱 [[链接](http://www.openkg.cn/dataset/2019-ncov-clinic)] Clinical knowledge graph [[Link](http://www.openkg.cn/dataset/2019-ncov-clinic)]



- 新冠英雄图谱 [[链接](http://www.openkg.cn/dataset/2019-ncov-hero)] Knowledge graph of people, experts, and heroes [[Link](http://www.openkg.cn/dataset/2019-ncov-hero)]



- 新冠热点事件图谱 [[链接](http://www.openkg.cn/dataset/2019-ncov-event)] Knowledge graph of public events [[Link](http://www.openkg.cn/dataset/2019-ncov-event)]



__COVID❋GRAPH  COVID-19 virus__

[[Web](http://www.odbms.org/2020/03/we-build-a-knowledge-graph-on-covid-19/)]



__KgBase COVID-19 knowledge graph__ [[Web](https://covid19.kgbase.com)]

__Academic graphs__

- OAG, Open Academic Graph, https://www.aminer.cn/open-academic-graph



### Entity Recognition

CORD-19, a comprehensieve named entity annotation dataset, CORD-NER, on the COVID-19 Open Research Dataset Challenge (CORD-19) corpus [[Data](https://xuanwang91.github.io/2020-03-20-cord19-ner/)]



### Other Collections

Baidu BROAD datasets [[Web](https://ai.baidu.com/broad/introduction)]



__ASER: A Large-scale Eventuality Knowledge Graph__

WWW 2020. _Zhang et al._ [[Paper](https://dl.acm.org/doi/abs/10.1145/3366423.3380107)]



## Libraries, Softwares and Tools

### KRL Libraries



* [TypeDB](https://github.com/vaticle/kglib), TypeDB Knowledge Graph Library (ML R&D) https://www.vaticle.com

* [AmpliGraph](https://github.com/Accenture/AmpliGraph), Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

* [OpenKE](https://github.com/thunlp/OpenKE), An Open-Source Package for Knowledge Embedding (KE)

* [Fast-TransX](https://github.com/thunlp/Fast-TransX), An Efficient implementation of TransE and its extended models for Knowledge Representation Learning

* [scikit-kge](https://github.com/mnick/scikit-kge), Python library to compute knowledge graph embeddings

* [OpenNRE](https://github.com/thunlp/OpenNRE), An Open-Source Package for Neural Relation Extraction (NRE)

* [PyKEEN](https://github.com/pykeen/pykeen), 🤖 A Python library for learning and evaluating knowledge graph embeddings

* [🍇 GRAPE](https://github.com/AnacletoLAB/grape), A Rust/Python library for Graph Representation Learning, Predictions and Evaluations



### Knowledge Graph Database

[akutan](https://github.com/eBay/akutan), A distributed knowledge graph store



### Others

- [OpenNRE](https://github.com/thunlp/OpenNRE)



### Interactive APP

Knowledge graph APP, Simple knowledge graph applications can be easily built using JSON data managed entirely via a GraphQL layer. [[Github](https://github.com/epistemik-co/staple-api-kg-demo)] [[Website](http://demo.staple-api.org)]



## Courses, Tutorials and Seminars

### Courses

- Stanford CS 520 Knowledge Graphs: How should AI explicitly represent knowledge? _Vinay K. Chaudhri, Naren Chittar, Michael Genesereth_. [[Web](https://web.stanford.edu/class/cs520/)]

- Stanford CS 224W: Machine Learning with Graphs. _Jure Leskovec_. [[Web](http://web.stanford.edu/class/cs224w/index.html)]

- University of Bonn: Analysis of Knowledge Graphs. _Jens Lehmmann_. [[Web](https://sewiki.iai.uni-bonn.de/teaching/lectures/kga/2017/start)] [[GitHub](https://github.com/SmartDataAnalytics/Knowledge-Graph-Analysis-Programming-Exercises)]

- Knowledge Graphs. _Harald Sack, Mehwish Alam_. [[Web](https://open.hpi.de/courses/knowledgegraphs2020)]



## Related Repos

A repo about knowledge graph in Chinese - [husthuke/awesome-knowledge-graph](https://github.com/husthuke/awesome-knowledge-graph)



A repo about NLP, KG, Dialogue Systems in Chinese - [lihanghang/NLP-Knowledge-Graph](https://github.com/lihanghang/NLP-Knowledge-Graph)



Top-level Conference Publications on Knowledge Graph - [wds-seu/Knowledge-Graph-Publications](https://github.com/wds-seu/Knowledge-Graph-Publications)



Geospatial Knowledge Graphs - [semantic-geospatial](https://github.com/laurentlefort/semantic-geospatial/wiki/Geospatial-Knowledge-Graphs)



## Acknowledgements



Acknowledgments give to the following people who comment or contribute to this repository (listed chronologically).



- [DonaldTsang](https://github.com/DonaldTsang)

- [NYXFLOWER](https://github.com/NYXFLOWER)

- [Arun-George-Zachariah](https://github.com/Arun-George-Zachariah)  



__[⬆](#awesome-knowledge-graph)__