A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of ...

Currently, this emerging technology has been widely used, and a large number of graph algorithms have emerged. Through the analysis of large-scale graph data, important information hidden in the ...

Aerospike said the underlying architecture of its new graph offering permits it to surpass its competitors in both performance and scale, delivering millisecond multihop graph queries across ...

Graph analytics improves AI decision-making by uncovering hidden patterns and relationships in complex data, delivering more accurate insights with richer context than traditional analytics.