As graph data is a common language across science and engineering, growing machine learning models with graphs in HPC environments offer exciting opportunities.
The Workshop on Machine Learning with Graphs in High Performance Computing Environments will be held in conjunction with SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis located in Atlanta, GA on November 17 - 22
Our keynote speakers will highlight significant research and challenges in machine learning with graphs in HPC.
Submit your paper on machine learning with graphs in HPC environments.
This workshop will feature presentations on accepted papers along with keynote speakers.
The workshop will be held in conjunction with SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis located in Atlanta, GA on November 17 - 22. The intent of this workshop is to bring together researchers, practitioners, and scientific communities to discuss methods that utilize extreme scale systems for learning graph data. This workshop will focus on the greatest challenges in utilizing High Performance Computing (HPC) for machine learning with graphs and methods for exploiting extreme scale parallelism for data, computation, and model optimization. We invite researchers and practitioners to participate in this workshop to discuss the challenges in using HPC for machine learning with graphs and to share the wide range of applications that would benefit from HPC powered machine learning with graphs.
Held in conjunction with SC24: The International Conference for High Performance Computing, Networking, Storage and Analysis
Mark your calendars for these dates!
August 12, 2024August 15, 2024
Submission of workshop papers
September 2, 2024
Notification of paper acceptance
September 9, 2024
Camera-ready submission of accepted papers
November 18, 2024
Workshop