BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

In this work, we propose a spectral-based graph convolutional network for directed graphs. The proposed model employs the classic singular value decomposition (SVD) to perform signal decomposition ...

Dear Editor, This letter addresses the critical challenge of preserving privacy in graph learning without compromising on data utility. Differential privacy (DP) is emerging as an effective method for ...

Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes. python sample data-mining big-data network graphs network-science ...

Este projeto simula uma rede local em anel (Token Ring) utilizando comunicação UDP em Python, com controle de erros por CRC32, retransmissão de pacotes, inserção aleatória de erros, suporte a ...