Results 31 to 40 of about 391,496 (277)
Future Internet, 2023 There has been a great deal of research in the area of using graph engines and graph databases to model network traffic and network attacks, but the novelty of this research lies in visually or graphically representing the Reconnaissance Tactic (TA0043 ...
Sikha S. Bagui +5 more
doaj +1 more source
Informatika, 2020 One of the key problems in developing and integrating expert systems for medical research is the problem of data aggregation. Most of the times, general information about the patient and data about undergone research procedures exist as part of several ...
A. V. Kurachkin, V. S. Sadau
doaj +1 more source
arXiv, 2022 Graph databases (GDBs) enable processing and analysis of unstructured, complex, rich, and usually vast graph datasets. Despite the large significance of GDBs in both academia and industry, little effort has been made into integrating them with the predictive power of graph neural networks (GNNs).
Besta, Maciej +7 more
openaire +2 more sources
Expression and Efficient Processing of Fuzzy Queries in a Graph Database Context [PDF]
, 2015 International audienceGraph databases have aroused a large interest in the last years thanks to their large scope of potential applications (e.g. social networks, biomedical networks, data stemming from the web). In a similar way as what has already been
Pivert, Olivier +2 more
core +3 more sources
Towards a Semantics-Based Recommendation System for Cultural Heritage Collections
Applied Sciences, 2023 While the use of semantic technologies is now commonplace in the cultural heritage sector and several semantically annotated cultural heritage datasets are publicly available, there are few examples of cultural portals that exploit these datasets and ...
Jiayu Li, Antonis Bikakis
doaj +1 more source
Graphulo: Linear Algebra Graph Kernels for NoSQL Databases
, 2015 Big data and the Internet of Things era continue to challenge computational systems. Several technology solutions such as NoSQL databases have been developed to deal with this challenge.
Bolewski, Jake +5 more
core +1 more source
Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach
Journal of Integrative Bioinformatics, 2018 The speed and accuracy of new scientific discoveries – be it by humans or artificial intelligence – depends on the quality of the underlying data and on the technology to connect, search and share the data efficiently.
Brandizi Marco +3 more
doaj +1 more source
An approach for system analysis with model-based systems engineering and graph data engineering
Data-Centric Engineering, 2022 Model-based systems engineering (MBSE) aims at creating a model of a system under development, covering the complete system with a level of detail that allows to define and understand its behavior and enables to define any interface and work package ...
Florian Schummer, Maximillian Hyba
doaj +1 more source
Adversarial Learned Molecular Graph Inference and Generation
, 2020 Recent methods for generating novel molecules use graph representations of molecules and employ various forms of graph convolutional neural networks for inference.
Pölsterl, Sebastian +1 more
core +1 more source
Graph Representation Integrating Signals for Emotion Recognition and Analysis
Sensors, 2021 Data reusability is an important feature of current research, just in every field of science. Modern research in Affective Computing, often rely on datasets containing experiments-originated data such as biosignals, video clips, or images.
Teresa Zawadzka +5 more
doaj +1 more source