Search Results for author:
Found 5 papers, 3 papers with code
FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction
Multimodal electronic health record (EHR) data can offer a holistic assessment of a patient's health status, supporting various predictive healthcare tasks.
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation
We also propose a Generative Recommendation Framework combined with three regularizers inspired by the mutual information maximization (MIM) theory \cite{mcgill1954multivariate} to capture the semantic differences between a user's interests shared across domains and those specific to certain domains, as well as address the informational gap between a user's actual interaction sequences and the pseudo-sequences generated.
Node-oriented Spectral Filtering for Graph Neural Networks
Graph neural networks (GNNs) have shown remarkable performance on homophilic graph data while being far less impressive when handling non-homophilic graph data due to the inherent low-pass filtering property of GNNs.
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
Moreover, the hierarchical representations at both instance level and channel level can be coordinated by the heterogeneous information aggregation under the guidance of global view.
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction
To address this issue, an evolutionary attention-based LSTM training with competitive random search is proposed for multivariate time series prediction.
