Tiered Memory is critical to manage heterogeneous memory devices, such as Persistent Memory or CXL Memory. Existing works make difficult trade-offs between optimal data placement and costly data ...

Abstract: Graph learning-based multi-modal integration and classification is one of the most challenging tasks for disease prediction. To effectively offset the negative impact among modalities in the ...

Abstract: Graph neural networks (GNNs) are highly effective models for tasks involving non-Euclidean data. To improve their performance, researchers have explored strategies to increase the depth of ...