Graph Convolutional Networks (GCNs) are pivotal in extracting latent
inf...
The growth of the Machine-Learning-As-A-Service (MLaaS) market has
highl...
Biologically inspired Spiking Neural Networks (SNNs) have attracted
sign...
The proliferation of deep learning (DL) has led to the emergence of priv...
Over-parameterization of deep neural networks (DNNs) has shown high
pred...
Traffic state prediction in a transportation network is paramount for
ef...
The rapid growth and deployment of deep learning (DL) has witnessed emer...
As real-world graphs expand in size, larger GNN models with billions of
...
Transformers are considered one of the most important deep learning mode...
With the yearning for deep learning democratization, there are increasin...
State-of-the-art Transformer-based models, with gigantic parameters, are...
Various pruning approaches have been proposed to reduce the footprint
re...