A Study on Contrastive Graph Neural Network Pretraining for Predicting Transcriptome Profiles Conference Paper January, 2025
Predicting Drug Effects from High-dimensional Asymmetric Drug Data Sets using Graph Neural Networks: A Comprehensive Analysis... Conference Paper December, 2024
SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks Conference Paper December, 2024
Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications Conference Paper November, 2024
Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI Conference Paper September, 2024
Correlating Power Outage Spread with Infrastructure Interdependencies During Hurricanes Conference Paper August, 2024
Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search Conference Paper July, 2024
HumoNet: A Framework for Realistic Modeling and Simulation of Human Mobility Network Conference Paper July, 2024
Towards Cross-Facility Workflows Orchestration through Distributed Automation... Conference Paper July, 2024
iFair: Achieving Fairness in the Allocation of Scarce Resources for Senior Health Care Conference Paper June, 2024
