- This is a repository of KGs survey paper that will be updated periodically. Last update: 26 Feb, 2023
- The Chinese Lanague KGs survey paper repository is avaliable at 知识图谱中文综述论文合集.
No | Title | Source | Year | Category | Link |
---|---|---|---|---|---|
1 | Multi-Modal Knowledge Graph Construction and Application: A Survey | arXiv | 2022 | KGs Construction and Completion | https://arxiv.org/abs/2202.05786 |
2 | Knowledge Graph Quality Management: a Comprehensive Survey | IEEE Transactions on Knowledge and Data Engineering | 2022 | KGs Construction and Completion | https://doi.org/10.1109/TKDE.2022.3150080 |
3 | Temporal Knowledge Graph Completion: A Survey | arXiv | 2022 | KGs Construction and Completion | https://doi.org/10.48550/arXiv.2201.08236 |
4 | Knowledge graph quality control: A survey | Fundamental Research | 2021 | KGs Construction and Completion | https://doi.org/10.1016/j.fmre.2021.09.003 |
5 | Network Representation Learning: A Macro and Micro View | Open AI | 2021 | KGs Representation Learning | https://doi.org/10.1016/j.aiopen.2021.02.001 |
6 | Neural Entity Linking: A Survey of Models Based on Deep Learning | Semantic Web | 2022 | Knowledge Graph Entity Linking | https://arxiv.org/abs/2006.00575 |
7 | Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review | arXiv | 2022 | Knowledge Graph Entity Alignment | https://arxiv.org/abs/2203.09280 |
8 | A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning | The VLDB Journal | 2022 | Knowledge Graph Entity Alignment | https://doi.org/10.1007/s00778-022-00747-z |
9 | A Critical Assessment of State-of-the-Art in Entity Alignment | arXiv | 2021 | Knowledge Graph Entity Alignment | https://arxiv.org/abs/2010.16314 |
10 | An Overview of Methods and Tools for Extraction of Knowledge for COVID-19 from Knowledge Graphs | Lecture Notes in Computer Science | 2022 | Knowledge Reasoning | https://doi.org/10.1007/978-3-031-09282-4_34 |
11 | Neural symbolic reasoning with knowledge graphs: Knowledge extraction, relational reasoning, and inconsistency checking | Fundamental Research | 2021 | Knowledge Reasoning | https://doi.org/10.1016/j.fmre.2021.08.013 |
12 | Knowledge graph and knowledge reasoning: A systematic review | Journal of Electronic Science and Technology | 2022 | Knowledge Reasoning | https://doi.org/10.1016/j.jnlest.2022.100159 |
13 | Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective | arXiv | 2022 | Knowledge Reasoning | https://arxiv.org/abs/2202.07412 |
14 | Neural symbolic reasoning with knowledge graphs: Knowledge extraction, relational reasoning, and inconsistency checking | Fundamental Research | 2021 | Knowledge Reasoning | https://doi.org/10.1016/j.fmre.2021.08.013 |
15 | Semantic Knowledge Graphs for the News: A Review | ACM Computing Surveys | 2022 | Downstream Application | https://doi.org/10.1145/3543508 |
16 | Toward better drug discovery with knowledge graph | Current Opinion in Structural Biology | 2022 | Downstream Application | https://doi.org/10.1016/j.sbi.2021.09.003 |
17 | Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey | arXiv | 2022 | Downstream Application | https://doi.org/10.48550/arXiv.2205.04712 |
18 | Exploiting knowledge graphs in industrial products and services : A survey of key aspects, challenges, and future perspectives | Computers in Industry | 2021 | Downstream Application | https://doi.org/10.1016/j.compind.2021.103449 |
19 | Knowledge Graphs in Manufacturing and Production: A Systematic Literature Review | IEEE Access | 2021 | Downstream Application | https://doi.org/10.1109/ACCESS.2021.3070395 |
20 | What is Event Knowledge Graph: A Survey | arXiv | 2021 | Event KGs | https://arxiv.org/abs/2112.15280 |
21 | A Survey on Knowledge Graphs: Representation, Acquisition and Applications | arXiv | 2020 | KGs Representation Learning | https://arxiv.org/abs/2002.00388 |
22 | A Survey on Visual Transfer Learning using Knowledge Graphs | Semantic Web | 2022 | KGs Representation Learning | https://doi.org/10.3233/SW-212959 |
23 | Knowledge Graph | Synthesis Lectures on Data, Semantics, and Knowledge | 2021 | KGs | https://kgbook.org |
24 | Knowledge Graph | Communications of the ACM | 2021 | KGs | https://dl.acm.org/doi/10.1145/3418294 |
25 | A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings | Data | 2022 | QA | https://doi.org/10.3390/data7070094 |
26 | Categorization of knowledge graph based recommendation methods and benchmark datasets from the perspectives of application scenarios: A comprehensive survey | Expert Systems with Applications | 2022 | QA | https://doi.org/10.1016/j.eswa.2022.117737 |
27 | Question Answering Survey: Directions, Challenges, Datasets, Evaluation Matrices | arXiv | 2021 | QA | https://arxiv.org/abs/2112.03572 |
28 | Knowledge graphs as tools for explainable machine learning: A survey | Artificial Intelligence | 2022 | XAI | https://doi.org/10.1016/j.artint.2021.103627 |
29 | Knowledge Graph Embeddings and Explainable AI | arXiv | 2020 | XAI | https://arxiv.org/abs/2004.14843 |
30 | Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities | arXiv | 2022 | Downstream Application | https://arxiv.org/abs/2207.03771 |
31 | Recommender System Using Knowledge Graph and Ontology: A Survey | Expert Clouds and Applications | 2022 | Downstream Application | https://doi.org/10.1007/978-981-19-2500-9_17 |
32 | Knowledge Graphs in Education and Employability: A Survey on Applications and Techniques | IEEE Access | 2022 | Downstream Application | https://doi.org/10.1109/ACCESS.2022.3194063 |
33 | Knowledge-graph-based explainable AI: A systematic review | Journal of Information Science | 2022 | XAI | https://doi.org/10.1177/01655515221112844 |
34 | What is a Multi-Modal Knowledge Graph: A Survey | SSRN | 2022 | Multi-Modal KGs | http://dx.doi.org/10.2139/ssrn.4229435 |
35 | A Survey on Knowledge Graph-based Methods for Automated Driving | KGSWC2022 | 2022 | Downstream Application | https://arxiv.org/abs/2210.08119 |
36 | Representation learning for knowledge fusion and reasoning in Cyber–Physical–Social Systems: Survey and perspectives | Information Fusion | 2022 | KGs Representation Learning | https://doi.org/10.1016/j.inffus.2022.09.003 |
37 | A Decade of Knowledge Graphs in Natural Language Processing: A Survey | AACL-IJCNLP | 2022 | KGs&NLP | https://arxiv.org/abs/2210.00105 |
38 | Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces | arXiv | 2022 | KGs Representation Learning | https://arxiv.org/abs/2211.03536 |
39 | Knowledge-Graph-Enabled Biomedical Entity Linking: A Survey | Research Square | 2022 | Knowledge Graph Entity Alignment | https://doi.org/10.21203/rs.3.rs-2183349/v1 |
40 | Generative Knowledge Graph Construction: A Review | arXiv | 2022 | KGs Construction and Completion | https://arxiv.org/abs/2210.12714 |
41 | Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces | arXiv | 2022 | KGs Representation Learning | https://arxiv.org/abs/2211.03536 |
42 | A Survey of Knowledge-Enhanced Pre-trained Language Models | arXiv | 2022 | KGs&NLP | https://arxiv.org/abs/2211.05994 |
43 | From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods | Journal of Web Semantics | 2023 | Downstream Application | https://doi.org/10.1016/j.websem.2022.100761 |
44 | A survey of hybrid knowledge reasoning oriented to KG | CAICE2022 | 2022 | Downstream Application | https://doi.org/10.1117/12.2641006 |
45 | Fusing external knowledge resources for natural language understanding techniques: A survey | Information Fusion | 2023 | KGs&NLP | https://doi.org/10.1016/j.inffus.2022.11.025 |
46 | Construction of Knowledge Graphs: State and Challenges | arXiv | 2023 | KGs Construction and Completion | https://arxiv.org/abs/2302.11509 |
47 | A Comprehensive Survey on Automatic Knowledge Graph Construction | arXiv | 2023 | KGs Construction and Completion | https://arxiv.org/abs/2302.05019 |
48 | Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs | arXiv | 2023 | Knowledge Extrapolation and Interpolation | https://arxiv.org/abs/2302.01859 |
49 | A Survey on Temporal Knowledge Graphs-Extrapolation and Interpolation Tasks | ICNC-FSKD 2022 | 2022 | Knowledge Extrapolation and Interpolation | https://doi.org/10.1007/978-3-031-20738-9_110 |
50 | A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge | arXiv | 2023 | KGs Construction and Completion | https://arxiv.org/abs/2301.01172 |
51 | Knowledge Distillation on Graphs: A Survey | arXiv | 2023 | Knowledge Distillation | https://arxiv.org/abs/2302.00219 |
52 | Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability | arXiv | 2023 | Knowledge Augmentement and Enhancement | https://arxiv.org/abs/2302.08261 |
This work is licensed under a Creative Commons Attribution 4.0 International License.