Soo Kim announced on the 8th of September that the team has developed a new DB system named 'Chimera' that fully integrates ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

Future directions include expanding training to cross-species data sets, integrating PTM and protein–protein interaction data, exploring SE-equivariant GNNs, and optimizing computational efficiency ...

Crime in D.C. and nationwide is declining from pandemic-era spikes. But individual incidents can shake residents and capture the president’s attention.

Google AI Mode now supports interactive graphs for financial data right in Search, and it’s a game-changing feature.

Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of graph data for ...

Conclusion Graph visualization tools are essential for understanding and analyzing complex relationships within data. By providing visual representations of networks, hierarchies, and other structures ...

GORAM is a graph-oriented data structure that guarantees robust privacy protection and enables efficient, sub-linear, ego-centric queries on federated graphs. To obtain useful performance even on ...

The maize planting data is initially converted to a bipartite graph data structure. Then, a yield prediction model based on a bipartite graph neural network is developed to impute missing trait data ...