Welcome remark (9:00 am)

Seung-Hwan Lim, Oak Ridge National Laboratory

Invited talk: Graphs in the LLM Era: Enabling Effective and Efficient LLM Ecosystems 9:05 am

Maciej Besta, ETH Zürich

Coffee Break (10:00 am - 10:30 am)

MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training

Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Pei Zhang, Khaled Z. Ibrahim

Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture

Kaiwen Cao, Archit Gajjar, Liad Gerstman, Kun Wu, Sai Rahul Chalamalasetti, Aditya Dhakal, Giacomo Pedretti, Pavana Prakash, Wen-mei Hwu, Deming Chen, Dejan Milojicic

HPCFAIR: Enabling FAIR AI for HPC Applications

nvited Talk: Advancing Graph AI: Tackling Efficiency, Application, and Explainability

Yuede Ji, University of Texas, Arlington

Lunch Break (12:30 PM ~ 2:00 PM)

Invited Talk:Rethinking Graph Analytics Benchmarks with the AGILE Workflows

Marco Minutoli, PNNL

Coffee Break (3:00 PM - 3:30 PM)

IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems)

Beau Johnston, Thibault de Boissiere, Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Aaron Young, Seyong Lee, Jeffrey S. Vetter

Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling

Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath

AM-DGCNN: Leveraging Graph Attention Networks and Edge Attributes for Link Classification in Knowledge Graphs

Dhroov Pandey, Tong Shu