Session

2:00pm - 2:05pm	Welcome Machine Learning with Graphs in High Performance Computing Environment Presenter Seung-Hwan Lim
2:05pm - 3:00pm	Invited Talk: Practical Machine Learning on Biological Knowledge Graphs Presenter Justin Reese
3:00pm - 3:30pm	MLG-HPCE – Afternoon Break
3:30pm - 3:54pm	Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning Author/Presenters Justin Stanley Ali Jannesari	Artificial Intelligence/Machine Learning
3:54pm - 4:18pm	An Efficient Distributed Graph Engine for Deep Learning on Graphs Author/Presenters Gangda Deng Ömer Akgül Hongkuan Zhou Hanqing Zeng Yinglong Xia Jianbo Li Viktor Prasanna	Artificial Intelligence/Machine Learning
4:18pm - 4:42pm	HPC-GPT: Integrating Large Language Model for High-Performance Computing Author/Presenters Xianzhong Ding Le Chen Murali Emani Chunhua Liao Pei-Hung Lin Tristan Vanderbruggen Zhen Xie Alberto Cerpa Wan Du	Artificial Intelligence/Machine Learning
4:42pm - 5:06pm	DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets Author/Presenters Jong Youl Choi Massimiliano Lupo Pasini Pei Zhang Kshitij Mehta Frank Liu Jonghyun Bae Khaled Ibrahim	Artificial Intelligence/Machine Learning
5:06pm - 5:30pm	An Analysis of Graph Neural Network Memory Access Patterns Author/Presenters Satoshi Iwata Remzi H. Arpaci-Dusseau Akihiko Kasagi	Artificial Intelligence/Machine Learning