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cs.LG2026
Pretraining EHR Foundation Models with Patient-Aware Sampling
Joshua Placidi, Yuxuan Liu, Jinpei Han +2
Autoregressive foundation models for electronic health records (EHRs) typically inherit pretraining methods from language modeling, where patient trajectories are concatenated into…
cs.LG2026
DyGnROLE: Asymmetric Pretraining for Edge Classification on Dynamic Graphs
Tyler Bonnet, Marek Rei
Edge classification on directed dynamic graphs requires modeling interactions between source and destination nodes exhibiting asymmetrical behavioral patterns and temporal dynamics…