Nithin Charlly, Matthew Swedlund
Can You Hear Me Now? Patient Perceptions of Telehealth in a Rural Primary Care Population
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
dynamic graphs become indispensable numerous fields due capacity represent evolving relationships time concomitant increase development temporal graph neural networks tgnns training tgnns dynamic graph link prediction commonly used negative sampling method often produces starkly contrasting samples lead model overfit pronounced differences compromise ability generalize effectively new data address challenge introduce innovative negative sampling approach named enhanced negative sampling ens strategy takes account two pervasive traits observed dynamic graphs 1 historical dependence indicating nodes frequently reestablish connections held past 2 temporal proximity preference posits nodes inclined connect recently interacted specifically technique employs designed scheduling function strategically control progression difficulty negative samples throughout training ensures training progresses balanced manner becoming incrementally challenging thereby enhancing tgnns proficiency predicting links within dynamic graphs empirical evaluation across multiple datasets discerned ens integrated modular component notably augments performance four sota baselines additionally investigated applicability ens handling dynamic graphs varied attributes code available httpsgithubcomqqaazxddrrens