Federated training of Graph Neural Networks (GNN) has become popular in
...
Communities, ranging from homes to cities, are a ubiquitous part of our
...
Graph neural networks (GNN) have been widely deployed in real-world netw...
System call filtering is a widely used security mechanism for protecting...
Node embedding aims to map nodes in the complex graph into low-dimension...
With the advancement of deep learning techniques, major cloud providers ...
Conventional model quantization methods use a fixed quantization scheme ...
The exponentially large discrete search space in mixed-precision quantiz...
As industrial systems become more complex and monitoring sensors for
eve...
This paper proposes an approach for vehicular spatio-temporal characteri...