Mathematical Computation in Knowledge Graph: Theories, Techniques, and Applications

Dear Colleagues,

As a representative technique of the new generation of knowledge engineering, Knowledge Graph (KG) has attracted extensive attention from both academia and industry. KG refers to any collection of knowledge represented in the form of graph, such as Semantic Web knowledge bases, RDF datasets, and formal ontologies. Nowadays, KG is widely applied in the research areas of artificial intelligence, natural language processing, machine learning, and data mining, since it can provide the capabilities of cognition, reasoning, and decision-making. However, a large number of KG-relevant real-world problems are still unsolved, such as high robust open-world KG construction, alignment, reasoning, update, querying, question answering, and etc. The most difficult key points are the mathematical computation and optimization in the above problems. Thus, this special issue aims to address these challenges by inviting scholarly contributions covering advanced theories, techniques, and applications of mathematical computation in KG. We are looking forward to receiving original research papers, experimental papers, and dataset papers related to the topic.

Dr. Tianxing Wu
Dr. Yuxiang Wang
Dr. Ningyu Zhang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.