We propose a class of functional dependencies for graphs, re- ferred to as GFDs. GFDs capture both attribute-value depen- dencies and topological structures of ...
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We propose a class of functional dependencies for graphs, referred to as GFDs. GFDs capture both attribute-value dependencies and topological structures of ...
We propose a class of functional dependencies for graphs, re- ferred to as GFDs. GFDs capture both attribute-value depen- dencies and topological structures ...
Jun 15, 2018 · ABSTRACT. This paper studies discovery of GFDs, a class of functional de- pendencies defined on graphs. We investigate the fixed-parameter.
A functional dependency (FD) is a relationship between two attributes, typically between the PK and other non-key attributes within a table.
Aug 19, 2021 · This paper introduces a class of data dependencies called Temporal Graph Functional Dependencies (TGFDs). TGFDs generalize functional dependencies to temporal ...
This paper presents a new graph-theoretic approach which leads to simpler proofs and more efficient algorithms for the manipulation and representation of FDs ...
The dependency relation directly gives the functional dependencies. The equipotence relation specifies the dependencies in terms of attribute sets which ...
Duration: 15:09
Posted: Sep 6, 2020
Posted: Sep 6, 2020
We propose a class of functional dependencies for graphs, referred to as GFDs. GFDs capture both attribute-value dependencies and topological structures of ...