Graph Database Management Systems (GDBMSs) store data as graphs and allow the
efficient querying of nodes and their relationships. Logic bugs are bugs that cause a GDBMS …

Silica aerogels are mesoporous high surface area materials with extensive synthetic and
processing conditions. To effectively synthesize aerogels, the impact of synthetic pathways …

Graph database systems (GDBs) allow efficiently storing and retrieving graph data, and
have become the critical component in many applications, eg, knowledge graphs, social …

Graph database engines stand out in the era of big data for their efficiency of modeling and
processing linked data. To assure high quality of graph database engines, it is highly critical …

This paper introduces the recent work of Nebula Graph, an open-source, distributed,
scalable, and native graph database. We present a system design trade-off and a …

Recent advances in neuroscience have enabled the exploration of brain structure at the
level of individual synaptic connections. These connectomics datasets continue to grow in …

Graph database systems (GDBs) allow efficiently creating, modifying, and retrieving graph
data in a graph database. To accelerate graph queries, GDBs usually adopt various and …

Graph Databases (Graph DB) find extensive application across diverse domains such as
finance, social networks, and medicine. Yet, the translation of Natural Language (NL) into …

Graph Database Systems (GDBs) support efficiently storing and retrieving graph data, and
have become a critical component in many important applications. Many widely-used GDBs …

Graph Databases (Graph DB) are widely applied in various fields, including finance, social
networks, and medicine. However, translating Natural Language (NL) into the Graph Query …