Crushing the cost curve: Enterprises adopt new strategies for efficient AI inference at scale

Metrum AI and Solidigm use SSD offload and DiskANN to cut memory costs while delivering efficient AI inference at scale, ...
IEEE

Anomaly Detection Over Multi-Relational Graphs Using Graph Structure Learning and Multi-Scale Meta-Path Graph Aggregation

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...
IEEE

Finite-Size Convergence Bound of Graph Convolutional Networks by Graphon Analysis

Abstract: Graph Convolutional Networks (GCNs) prevail in the analysis of network-structured data, but how the graph size affects the performance is not fully understood. As the limit of graphs, the ...