Jun 9, 2021 · We incorporate these pre-trained representations into a graph neural network to detect disease complications, and design a multi-level attention ...

Sep 21, 2021 · To address these challenges, we propose Sherbet, a self-supervised graph learning framework with hyperbolic embeddings for temporal health event ...

Sherbet is proposed, a self-supervised graph learning framework with hyperbolic embeddings for temporal health event prediction that incorporates pretrained ...

Self-supervised graph learning with hyperbolic embedding for temporal health event prediction (IEEE Cybernetics) - LuChang-CS/sherbet.

To address these challenges, we propose Sherbet, a self- supervised graph learning framework with hyperbolic embed- dings for temporal health event prediction.

Sep 21, 2021 · We conduct extensive experiments on two important healthcare problems to show the competitive prediction performance of the proposed method ...

Aug 1, 2024 · By leveraging hyperbolic embedding, researchers have been able to capture the hierarchical relationships between medical codes more effectively.

We leverage this graph in order to learn a set of prior distributions, which encourage an aligned variational autoencoder (VAE) model to learn embeddings which ...

(2021). Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction. IEEE Transactions on Cybernetics. PP. 1-13. 10.1109/TCYB.

Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction · 1 code implementation • 9 Jun 2021 • Chang Lu, Chandan K ...