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cs.LG2025
MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation
Sama Salarian, Yue Zhang, Swati Padhee +1
Synthetic healthcare data generation presents a viable approach to enhance data accessibility and support research by overcoming limitations associated with real-world medical data…
cs.LG2024
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
Yue Zhang, Yuntian He, Saket Gurukar +1
Heterogeneous graphs are ubiquitous in real-world applications because they can represent various relationships between different types of entities. Therefore, learning embeddings…