As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models. Written by eWEEK content and product recommendations ...

The representation of numbers in graphs should be proportional to the numbers themselves. Otherwise, they mislead or deceive. Examples of misleading graphs not drawn to scale and a figure with ...

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 ...

Many graph experts disagree with Darryl Huff’s argument that the scales of all graphs must begin at zero. I discuss why the rule for bar graphs may differ from that for line graphs.

XGCN: a library for large-scale graph neural network recommendations. Article Publication Date. 14-Mar-2024. ... Frontiers of Computer Science DOI 10.1007/s11704-024-3803-z. Keywords ...