For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Abstract: There are two main approaches to graph databases: based on RDF model and based on labeled property graph model. RDF is well known and studied, but modern graph databases with labeled ...

This work investigates the ability of graph neural networks (GNNs) to homogenize 2D fiber composite microstructures. We use different inhomogeneity and anisotropy indices to motivate and show that the ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

SQL development is evolving fast, and Microsoft.Build.Sql is leading the charge. This next-generation SDK brings flexible project structures, better source control integration, automated build-time ...

./configure --prefix=$AGENS_TEMP_DIR/pgsql --with-pgport=6179 --with-gssapi --with-ldap --with-tcl --with-openssl --enable-nls --enable-thread-safety --with-perl ...

In November 2024, we announced the next major release of SQL Server: SQL Server 2025. SQL Server 2025, now in private preview, includes capabilities to build AI applications including vector and AI ...

diff --git a/src/backend/rewrite/rewriteGraphTable.c b/src/backend/rewrite/rewriteGraphTable.c index ee11594d2cf..4b787a2e88f 100644 --- a/src/backend/rewrite ...

Oracle AI Vector Search allows documents, images, and relational data that are stored in mission-critical databases to be easily searched based on their conceptual content Generative AI can now be ...