By: Anish Khan
Machine learning continues to draw researchers to a new learning paradigm with each passing year. Machine learning has progressed dramatically in recent years. Google invented the phrase “Knowledge Graph” in 2012 as a new technical term. Knowledge graphs can be defined as a graphical representation of data points from different data sets to show the correlation between them [1]. For example, the accuracy rate of machine learning methods improves with each passing day because of this knowledge graph’s importance in the area. [2] Knowledge Graphs and their real-time applications with the integration of Machine Learning [3-4] and Artificial Intelligence will be the focus of recent research development.
Knowledge Graphs Methodology, Tools and Selected Use Cases
Authors: Dieter Fensel et al.

Knowledge Graphs and Big Data Processing
Authors: Valentina Janev et al.

Graph Theory with Applications to Engineering and Computer Science
Authors: Narsingh Deo

Domain-Specific Knowledge Graph Construction
Authors: Mayank Kejriwal

Practical Graph Mining with R
Authors: Arpan Chakraborty

Graph-Based Semi-Supervised Learning
Authors: Amarnag Subramanya et al.

Graph Algorithms and Applications 3
Authors: Giuseppe Liotta et al.

Graph Theory Advanced Algorithms and Applications
Authors: Beril Sirmacek

New Frontiers in Graph Theory
Authors: Yagang Zhang

Pearls in Graph Theory: A Comprehensive Introduction
Authors: Nora Hartsfield, Gerhard Ringel

References
- A. Khan, F. Colace (2021) Knowledge Graph: Applications with ML and AI and Open-Source Database Links in 2022, Insights2Techinfo
- Wang, Q., Mao, Z., Wang, B., & Guo, L. (2017). Knowledge graph embedding: A survey of approaches and applications. IEEE Transactions on Knowledge and Data Engineering, 29(12), 2724-2743.
- K. Yadav, M. Quamara, B. Gupta (2021), 2021 Hot Topics in Machine Learning Research, Insights2Techinfo, pp.1
- A. Khan, K. T. Chui, D. Peraković (2021) Future Scope of AI and Machine Learning in 2022, Insights2Techinfo, pp.1
Cite this article as:
Anish Khan (2021) Top 10 Textbooks on Knowledge Graphs, Insights2Techinfo, pp.1