6 天前 - … To this end, we design a multi-hop adaptive aggregation mechanism based on
the … The adaptive aggregation process is designed to strike a balance between local and …

8 天前 - … Therefore, this study proposes a spatio-temporal hybrid model based on convolution
and attention (named Attentive Graph Convolution and 1D Convolution Network, AGCC) to …

10 天前 - … plectic integral-inspired framework named symplectic integral neural network (SINN), …
We further present the Symplectic Temporal Aggregation module, which splits the long-…

11 天前 - … two-branch encoder network that learns 3D geometric information and temporal
motion features independently from two branches followed by Parallel FPNs to aggregate multi-…

15 天前 - … a knowledge graph convolutional network with a heuristic search, named KGCNH,
which can … of drugs and diseases through neighborhood aggregation, and then predict drug–…

17 天前 - … , named attentive triple-fusion network (ATF-Net), for RGB-D video salient object
detection. Our method aggregates … feature aggregation (MEA) modules and decoder feature …

17 天前 - … In response, over-the-air computation (AirComp) has been introduced as a
solution to enable efficient data aggregation. AirComp integrates the communication and …

20 天前 - … FL methods which are based on conventional model aggregation and only private
data. The absence of model aggregation also enhances security and efficiency because it …

23 天前 - … In this paper, we neatly fence off the problem based on an aggregation property
of ID features named Neural Collapse (NC). NC means that the penultimate features of ID …

23 天前 - … Initially, the data aggregation is performed to combine the multiple … aggregated
link data is given into the hybrid detection model named as Enhanced Deep Learning Network (…