You access the graph only by using nodes as a starting point, not labels. Prefix-label strategy If performance is a top concern, we highly recommend considering the prefix-label strategy over the property strategy. In the prefix-label strategy, you label each node with a combination of tenant...
The result of this characterization can be considered a metadata model for the labeled-property graph and can be used for the graph exploration, the graph content monitoring, also for the graphs comparison and for the automated generation of machine interfaces (APIs)....
the property similarity is exploited to split the graph to a K-node tree that determines the K value, and then the initial centroids are selected from the split subtrees. Since the property graph construction and the cohesion calculation are only performed once, they account for a small amount...
until it must be revealed by a later query. To formalize, instead of tinkering with the CQA2-security definition of DSSE, we define forward privacy based on the property of the leakage function\({\mathcal {L}}_{u}\). This is
A model for position invariant pattern recognition is presented. Although not demonstrated here, the system is insensitive to distortions. Recognition is based on labeled graph matching. The system consists of two layers of neurons, an input layer, and a memory and recognition layer. The latter co...
(mathematics)/ graphical Markov models moral transitive acyclic directed graph labeled trees conditional independence classes intersection specific Markov property multivariate distribution decomposable Markov model finite distributive lattice normal distribution/ B0240J Markov processes B0250 Combinatorial mathematics...
Any tree appearing in [15] is an example of what physicists call a Feynman graph, while the diagrammatic rules one has to follow in order to associate to the tree θ its right numerical value Valθ are usually called the Feynman rules for the model under consideration. Such a terminology ...
The opaque property plays an important role in the operation of a security-critical system, implying that pre-defined secret information of the system is not able to be inferred through partially observing its behavior. This paper addresses the verificat
Within this approach, we find that a variational autoencoder-based probability density model showed the best overall performance, although any evolutionary density model can be used. Moreover, our analysis highlights the importance of systematic evaluations and sufficient baselines....
Specifically, the proposed GDA integrates graph regularization with maximum mean discrepancy (MMD). Hence GDA enables sufficient unlabeled source data to facilitate knowledge transfer by utilizing the geometric property of source domain, simultaneously, due to the embedding of MMD, GDA can reduce source...