CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks
Electronic Health Records (EHRs) play a crucial role in shaping predictive are models, yet they encounter challenges such as significant data gaps and class imbalances. Traditional Graph Neural Network (GNN) approaches have limitations in fully leveraging neighbourhood data or demanding intensive co...
Үндсэн зохиолчид: | Molaei, S, Bousejin, NG, Ghosheh, GO, Thakur, A, Chauhan, VK, Zhu, T, Clifton, DA |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
Springer
2024
|
Ижил төстэй зүйлс
-
Learning graph representations with maximal cliques
-н: Molaei, S, зэрэг
Хэвлэсэн: (2021) -
Incarnation in Ludics and maximal cliques of paths
-н: Myriam Quatrini, зэрэг
Хэвлэсэн: (2013-10-01) -
Broadcasting in Stars of Cliques and Path-Connected Cliques
-н: Akash Ambashankar, зэрэг
Хэвлэсэн: (2025-02-01) -
Towards Optimal Output-Sensitive Clique Listing or: Listing Cliques from Smaller Cliques
-н: Dalirrooyfard, Mina, зэрэг
Хэвлэсэн: (2024) -
Cliques and Clique Covers in Interval-Valued Fuzzy Graphs
-н: Napur Patra, зэрэг
Хэвлэсэн: (2021-06-01)