Abstract: The current deep learning-based target detection algorithms have problems such as the network perception domain being limited, poor adaptation to scale changes, feature mismatch in feature ...

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...

Abstract: With the wide application of graph neural network (GNN) in many fields, how to extract and aggregate node features effectively has become a hot research issue. In this paper, we propose a ...