The team proposed a Python-based library named XGCN, aiming at helping users quickly build and run large-scale GNNs in a single-machine environment.

3rd level Presenting data - graphs, charts and diagrams Choosing the right scale on graph axes Statistical information can be presented in diagrams, graphs and charts. The type you use will ...

Graph computing is a technology that studies the graph in the human world, describing, portraying, analyzing and computing them. Currently, this emerging technology has been widely used, and a ...

KAIST’s tool – which is named “Trillion-scale Graph Processing Simulation,” or T-GPS – bypasses the storage step. Instead, T-GPS loads the smaller, real graph into its main memory. Then, it runs the ...

In tests using large-scale real-world graph datasets, Capsule outperformed the best existing systems, achieving up to a 12.02x performance improvement while using only 22.24% of the memory.

Objectivity, Inc., a provider of data management solutions, has released the first version of its enterprise-ready distributed graph database product, following a successful beta program which began ...

Technical Report Published: 25 September 2017 Graphtyper enables population-scale genotyping using pangenome graphs Hannes P Eggertsson, Hakon Jonsson, Snaedis Kristmundsdottir, Eirikur Hjartarson ...