Call for Papers: Special Issue on Graph-Centric Computing: Algorithms, Systems, and Architectures

• Submission Deadline: 15 July 2026
• Publication: March 2027

IEEE Transactions on Computers seeks original manuscripts for a special issue/section on Graph-Centric Computing: Algorithms, Systems, and Architectures scheduled to appear in March 2027.Graph-centric computing has emerged as a foundational paradigm for a broad range of modern workloads that challenge traditional computing systems. This special issue solicits high-quality, original research contributions that advance the state of the art in algorithms, systems, and architectures for graph-centric computation. Graph workloads arise across artificial intelligence, graph databases and property-graph systems, scientific computing, data-intensive analytics, and cyber-physical systems, including large-scale, static and dynamic, and attribute-rich graph workloads. These workloads place extreme pressure on memory hierarchies and data movement, motivating new approaches to locality management and the use of emerging and disaggregated memory technologies, and making scalability across cores, accelerators, memory hierarchies, and distributed systems a central challenge.

Topics of interest include, but are not limited to:

• Scalable graph algorithms and irregular computation models for static and dynamic graphs
• Graph-centric libraries, low-level application programming interfaces, and performance-portable programming interfaces for graph and sparse computations
• Graph-centric artificial intelligence: learning and inference on graph structures, graph neural networks, representation learning, knowledge graphs, and graph-enabled retrieval workflows
• Graph databases, property graphs, and complex graph data models
• Graph processing in scientific computing and scientific machine learning
• Memory systems, data movement, and locality management for graph-centric workloads
• Emerging and disaggregated memory technologies and their impact on graph processing
• Scalable systems, runtimes, and architectures for static and dynamic graph workloads
• Application-driven graph computing, including hardware design automation, finance and cybersecurity, transportation and cyber-physical infrastructure networks, and healthcare and biomedical analytics
• Emerging computing paradigms for graph processing

Submission Guidelines

For author information and guidelines on submission criteria, please visit Author Guidelines. Please submit papers through the Author Portal, and be sure to select the special-issue or special-section name. As per TC policies, only full-length papers (12 pages) can be submitted to special issues/sections and each author’s bio should not exceed 150 words. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal.

In addition to submitting your paper to IEEE Transactions on Computers, you are also encouraged to upload the data related to your paper to IEEE DataPort. IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility. Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive. Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission. Thank you!

Guest Editors

Please address all other correspondence regarding this special issue/section to Lead Guest Editor Antonino Tumeo, antonino.tumeo@pnnl.gov.

• Antonino Tumeo, Pacific Northwest National Laboratory, (USA)
• Michela Becchi, North Carolina State University, (USA)
• Ana Lucia Verbanescu, University of Twente, (Netherlands)