Back to Top
Go Back
Journal Photo for IEEE Transactions on Knowledge and Data Engineering
Peer reviewed only Open Access

IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)

Publisher : IEEE Computer Society
Data Engineering Artificial Intelligence electrical engineering
Claim Your Journal Get PRC Visit Website
e-ISSN 1558-2191
p-ISSN 1041-4347
Issue Frequency Monthly
Est. Year 1989
Mobile 12023710101
DOI YES
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email leichen@cse.ust.hk

Journal Descriptions

The scope of the IEEE Transactions on Knowledge and Data Engineering includes the knowledge and data engineering aspects of computer science, artificial intelligence, electrical engineering, computer engineering, and other appropriate fields. This Transactions provides an international and interdisciplinary forum to communicate results of new developments in knowledge and data engineering and the feasibility studies of these ideas in hardware and software. Specific areas to be covered are as follows: Fields and Areas of Knowledge and Data Engineering: (a) Knowledge and data engineering aspects of knowledge based and expert systems, (b) Artificial Intelligence techniques relating to knowledge and data management, (c) Knowledge and data engineering tools and techniques, (d) Distributed knowledge base and database processing, (e) Real-time knowledge bases and databases, (f) Architectures for knowledge and data based systems, (g) Data management methodologies, (h) Database design and modeling, (i) Query, design, and implementation languages, (j) Integrity, security, and fault tolerance, (k) Distributed database control, (l) Statistical databases, (m) System integration and modeling of these systems, (n) Algorithms for these systems, (o) Performance evaluation of these algorithms, (p) Data communications aspects of these systems, (q) Applications of these systems.

IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Data Engineering, Artificial Intelligence, electrical engineering, computer engineering , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1041-4347, E-ISSN: 1558-2191, Established: 1989,
  • Provides Crossref DOI

  • Indexed in: Scopus, WoS, PubMed

  • Not indexed in DOAJ, UGC CARE

Indexing

Publications of IEEE TKDE

Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance
Pietro Liò May, 2024
Graph neural networks (GNNs) are powerful models for processing graph data and have demonstrated state-of-the-art performance on many downstream tasks. However, existing GNNs can generally s...