InfoQ

AWS Replaces Fat-Tree Data Center Networks with Random Graph Theory, Cutting Routers by 69%

AWS disclosed that Resilient Network Graphs, a flat network architecture based on quasi-random graph theory, is now the ...
GitHub

A PyTorch implementation of Signed Graph Convolutional Network (ICDM 2018).

--edge-path STR Input graph path. Default is `input/bitcoin_otc.csv`. --features-path STR Features path. Default is `input/bitcoin_otc.csv`. --embedding-path STR ...
IEEE

Probabilistic analysis of the network reliability problem on a random graph ensemble

Abstract: In the field of computer science, the network reliability problem for evaluating the network failure probability has been extensively investigated. For a given undirected graph G, the ...
IEEE

Multi-layer Graph Neural Network-Based Random Anomalous Behavior Detection

Abstract: Random anomalous behavior is a false or redundant behavior that randomly appears in the network structure, affecting the analysis result of the network. Current methods mainly capture the ...
Network World

True random numbers are here — what that means for data centers

The Entropy Engine can deliver 350 Mbps of true random numbers—enough to give a data center enough random data to dramatically improve all cryptographic processes For many decades, the term “random ...