We propose Graph Generating Dependencies (GGDs), a new class of dependencies for property graphs. Extending the expressivity of state of the art constraint languages, GGDs can express both tuple- and equality-generating dependencies on property graphs, both of which find broad application in graph data management. We provide the formal definition of GGDs, analyze the validation problem for GGDs, and demonstrate the practical utility of GGDs.</p
AbstractTraditionally, dependency theory has been developed for uninterpreted data. Specifically, th...
Graph transformation systems (GTS) and constraint handling rules (CHR) are non-deterministic rule-ba...
Constraint Handling Rules (CHR) is a rule- and logic-based formalism and has established itself as a...
We propose Graph Generating Dependencies (GGDs), a new class of dependencies for property graphs. Ex...
International audienceWe report on a community effort between industry and academia to shape the fut...
Traditionally, dependency theory has been developed for uninterpreted data. Specifically, the only a...
This article presents a database of about 200 graph invariants for deriving systematically necessary...
International audienceProperty graphs have reached a high level of maturity, witnessed by multiple r...
International audienceDespite the maturity of commercial graph databases, little consensus has been ...
This report presents a database of about 200 graph invariants for deriving systematically necessary ...
The development of practical query languages for graph databases runs well ahead of the underlying t...
International audienceData dependencies are well known in the context of relational database. They a...
Data ow constraints allow programmers to easily specify relationships among application objects in a...
SIGLECNRS-CDST / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
The paper introduces a generalisa-tion of Topological Dependency Gram-mar (TDG) (Duchier and Debusma...
AbstractTraditionally, dependency theory has been developed for uninterpreted data. Specifically, th...
Graph transformation systems (GTS) and constraint handling rules (CHR) are non-deterministic rule-ba...
Constraint Handling Rules (CHR) is a rule- and logic-based formalism and has established itself as a...
We propose Graph Generating Dependencies (GGDs), a new class of dependencies for property graphs. Ex...
International audienceWe report on a community effort between industry and academia to shape the fut...
Traditionally, dependency theory has been developed for uninterpreted data. Specifically, the only a...
This article presents a database of about 200 graph invariants for deriving systematically necessary...
International audienceProperty graphs have reached a high level of maturity, witnessed by multiple r...
International audienceDespite the maturity of commercial graph databases, little consensus has been ...
This report presents a database of about 200 graph invariants for deriving systematically necessary ...
The development of practical query languages for graph databases runs well ahead of the underlying t...
International audienceData dependencies are well known in the context of relational database. They a...
Data ow constraints allow programmers to easily specify relationships among application objects in a...
SIGLECNRS-CDST / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
The paper introduces a generalisa-tion of Topological Dependency Gram-mar (TDG) (Duchier and Debusma...
AbstractTraditionally, dependency theory has been developed for uninterpreted data. Specifically, th...
Graph transformation systems (GTS) and constraint handling rules (CHR) are non-deterministic rule-ba...
Constraint Handling Rules (CHR) is a rule- and logic-based formalism and has established itself as a...