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How to Build a Knowledge Graph: A Step-by-Step Guide
This article from the FalkorDB blog focuses on the use of tensors and sparse matrices for efficiently representing and manipulating graph data within the FalkorDB database. The article highlights the power of GraphBLAS,
an API that enables operations on sparse vectors and matrices, as a
crucial element within FalkorDB's architecture. It explains how
FalkorDB leverages tensors to represent multiple edges between the same
two entities in a graph and how these tensors can be treated as regular
sparse matrices, providing flexibility and performance in graph
operations. The article also discusses the use of semirings for efficient computation of graph expressions, combining various types of matrices to achieve faster processing times.
To read more see: https://www.falkordb.com/blog/how-to-build-a-knowledge-graph/
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By FalkorDBThis article from the FalkorDB blog focuses on the use of tensors and sparse matrices for efficiently representing and manipulating graph data within the FalkorDB database. The article highlights the power of GraphBLAS,
an API that enables operations on sparse vectors and matrices, as a
crucial element within FalkorDB's architecture. It explains how
FalkorDB leverages tensors to represent multiple edges between the same
two entities in a graph and how these tensors can be treated as regular
sparse matrices, providing flexibility and performance in graph
operations. The article also discusses the use of semirings for efficient computation of graph expressions, combining various types of matrices to achieve faster processing times.
To read more see: https://www.falkordb.com/blog/how-to-build-a-knowledge-graph/