The Synergy of ML and Graph Algorithms
Tuesday, June 10, 2025 5:20 PM to 6:35 PM · 1 hr. 15 min. (Europe/Berlin)
Hall Z - 3rd floor
Invited Talk
AI Applications powered by HPC TechnologiesApplication Workflows for DiscoveryHigh-Performance Data AnalyticsHW and SW Design for Scalable Machine LearningML Systems and ToolsNovel AlgorithmsParallel Programming Languages
Information
Machine learning and graph algorithms together form a powerful framework for analyzing complex data. This session will explore the advances and the challenges in combining graph and machine learning algorithms as applied to large scale data analysis.
Format
On DemandOn Site
Presentation
Graph Rewiring For Improved AI Analysis
Tuesday, June 10, 2025 5:20 PM to 5:30 PM
Hall Z - 3rd floor
Sanjukta Bhowmick · University of North Texas
AI Is More Than Just Models: Building Sustainable, Explainable, and Impactful AI
Tuesday, June 10, 2025 5:30 PM to 5:40 PM
Hall Z - 3rd floor
Michela Taufer · University of Tennessess Knoxville
Leveraging Task-Based Programming for Machine Learning and Distributed Training
Tuesday, June 10, 2025 5:40 PM to 5:50 PM
Hall Z - 3rd floor
Rosa Badia · Barcelona Supercomputing Center
Parallelizing GNN Using Distributed Algorithms
Tuesday, June 10, 2025 5:50 PM to 6:00 PM
Hall Z - 3rd floor
Brian Van Essen · Lawrence Livermore National Laboratory
Q&A: The Synergy of ML and Graph Algorithms
Tuesday, June 10, 2025 6:00 PM to 6:35 PM
Hall Z - 3rd floor
Rosa Badia · Barcelona Supercomputing Center
Sanjukta Bhowmick · University of North Texas
Brian Van Essen · Lawrence Livermore National Laboratory
Michela Taufer · University of Tennessess Knoxville
