National audienceA temporal graph is based on two aspects: it is a graph that models the interconnection of data and that includes time dimension to model the temporal evolution of data. Temporal graphs are commonly used in different domains to capture the different evolution types that occur in a graph over time. However, existing modelling solutions of temporal graph do not allow to manage all temporal evolution types in the real world. In this paper, we propose a generic model that is able to manage the temporal evolution at different levels: at the schema level to capture the temporal evolution in the graph data structure, and at the instance level to capture the temporal evolution of data contained in entities and their relationships a...
Most instruments - formalisms, concepts, and metrics - for social networks analysis fail to capture ...
International audienceMost instruments - formalisms, concepts, and metrics - for social networks ana...
There has been an increasing interest in modeling continuous-time dynamics of temporal graph data. P...
Edited by Renata Guizzardi, Anna Perini, Samira CherfiInternational audienceGraph data management sy...
International audienceThis paper describes a new temporal graph modelling solution to organize and m...
In this paper we propose a graph-based generic model able to uniformly represent semistructured data...
Graph data structures model relations between entities in various domains. Graph processing systems ...
We sketch here the semistructured temporal data model GEM (Graphical sEmistructured teMporal), which...
Modern analytics solutions succeed to understand and predict phenomenons in a large diversity of sof...
Abstract: We introduce the idea of temporal graphs, a representation that encodes temporal data into...
Learning representations for graph-structured data is essential for graph analytical tasks. While re...
Bancos de dados de grafos possibilitam a modelagem em uma estrutura orientada aos relacionamentos en...
International audienceNowadays, in many real-world problems, objects are characterized by properties...
The article outlines existing solutions in the area of graphs and temporal databases. It provides ex...
International audienceLarge-scale graphs are at the core of a plethora of modern applications such a...
Most instruments - formalisms, concepts, and metrics - for social networks analysis fail to capture ...
International audienceMost instruments - formalisms, concepts, and metrics - for social networks ana...
There has been an increasing interest in modeling continuous-time dynamics of temporal graph data. P...
Edited by Renata Guizzardi, Anna Perini, Samira CherfiInternational audienceGraph data management sy...
International audienceThis paper describes a new temporal graph modelling solution to organize and m...
In this paper we propose a graph-based generic model able to uniformly represent semistructured data...
Graph data structures model relations between entities in various domains. Graph processing systems ...
We sketch here the semistructured temporal data model GEM (Graphical sEmistructured teMporal), which...
Modern analytics solutions succeed to understand and predict phenomenons in a large diversity of sof...
Abstract: We introduce the idea of temporal graphs, a representation that encodes temporal data into...
Learning representations for graph-structured data is essential for graph analytical tasks. While re...
Bancos de dados de grafos possibilitam a modelagem em uma estrutura orientada aos relacionamentos en...
International audienceNowadays, in many real-world problems, objects are characterized by properties...
The article outlines existing solutions in the area of graphs and temporal databases. It provides ex...
International audienceLarge-scale graphs are at the core of a plethora of modern applications such a...
Most instruments - formalisms, concepts, and metrics - for social networks analysis fail to capture ...
International audienceMost instruments - formalisms, concepts, and metrics - for social networks ana...
There has been an increasing interest in modeling continuous-time dynamics of temporal graph data. P...