graphdatascience is a Python client for operating and working with the Neo4j Graph Data Science (GDS) library. It enables users to write pure Python code to project graphs, run algorithms, as well as ...
Abstract: Scoring functions (SFs), which measure the plausibility of triplets in knowledge graph (KG), have become the crux of KG embedding. Lots of SFs, which target at capturing different kinds of ...
Build stable, high-performance dashboards using REPT formulas and UNICHAR symbols instead of conditional formatting.
BYROW replaces thousands of table formulas with one spill formula, making spreadsheets leaner and much more robust.
Abstract: Call graphs play an important role in different contexts, such as profiling and vulnerability propagation analysis. Generating call graphs in an efficient manner can be a challenging task ...