Topics of interest include, but are not limited to:
Novel solutions for accelerating graph learning-based methods using methodologies such as neural graph networks and knowledge graphs;
Frameworks for building dynamic graph algorithms;
Hardware platforms specialized for addressing large, dynamic, and multi-attributed graphs;
Problem domains and applications of dynamic graphs
Dynamic graph neural network
Graph in HPC
The paper submission online system is: Easy Chair (https://easychair.org/conferences/?conf=sandy02)
Note that first time users will have to create an account.
Guidelines:
This workshop is soliciting regular papers as well as short position papers describing work-in-progress with innovative ideas related to the workshop topics.
Abstracts of at most 500 words for both regular and short papers must be submitted by June 17th, 2024. Full manuscripts must be submitted by June 18th, 2024.
Submitted regular papers may not exceed eight (8) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (ACM conference style), including figures, tables, and references. Submitted manuscripts should include author names and affiliations.
Submitted short papers may not exceed five (5) single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (ACM conference style), including figures, tables, and references. Submitted manuscripts should include author names and affiliations.
ACM templates to prepare the submissions can be found at https://www.acm.org/publications/proceedings-template
David Bader, New Jersey Institute of Technology
Sriram Srinivasan, Cyberinfrastructure for Accelerating Innovation in Network Dynamics (CANDY) [Lead Architect]
Boyana Norris, University of Oregon
Sanjukta Bhowmick, University of North Texas
Sajal Das, Missouri S&T
Arindam Khanda, Missouri S&T
Ji Yuede, University of North Texas
Oded Green, NVIDIA
Humayun Kabir, Microsoft
Roger Pearce, LLNL
Raqib Islam, University of North Carolina at Charlotte