Graph embedding techniques, applications, and performance: A survey

• Published in: Knowledge-based systems Vol. 151; pp. 78 - 94
• Main Authors: Goyal, Palash, Ferrara, Emilio
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.07.2018; Elsevier Science Ltd
• Subjects: Algorithms; Communication networks; Datasets; Embedded systems; Embedding; Graph embedding applications; Graph embedding techniques; Graph theory; Graphical representations; Human communication; Machine learning; Python graph embedding methods GEM library; Random walk; Vector space; Python graph embedding methods GEM library; Graph embedding applications; Graph embedding techniques

Graphs, such as social networks, word co-occurrence networks, and communication networks, occur naturally in various real-world applications. Analyzing them yields insight into the structure of society, language, and different patterns of communication. Many approaches have been proposed to perform...