Abstract: Temporal graph learning aims to generate high-quality representations for graph-based tasks with dynamic information, which has recently garnered increasing attention. In contrast to static ...

This renders the handover optimization a challenging problem. In this paper, we propose a novel graph convolutional neural network to capture the complex interaction between overlapping cells. With ...

The non-visual metrology tools described in this paper, and the information presented below, can also be applied to other retinal responses to ambient light. During the first 5 years after birth, the ...

We use GCN as the baseline model, implemented in the GCN file. To reproduce the results in Table 3, run the following command: python train_GCN_RLoss.py python train_GCN_Preg.py python ...

Department of Chemistry, University of Okara, Okara 56300, Punjab, Pakistan ...