Results 271 to 280 of about 250,057 (298)

Associative Graph Data Structures with an Efficient Access via AVB+trees

2018 11th International Conference on Human System Interaction (HSI), 2018
This paper introduces a new efficient associative graph data structure with efficient access to all stored data inspired by biological neural networks and associative brain-like approaches. It also introduces new self-balancing, self-organizing, and self-sorting AVB+trees which not only store data but it also allows for replacing many search operations
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New bounds on the average information rate of secret-sharing schemes for graph-based weighted threshold access structures

Information Sciences, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hui-Chuan Lu, Hung-Lin Fu
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LandHouse: A Network Storage Structure Combining Regular Graph with Distributed Hash Table and Its Data Accessing Methods

2009 Third International Symposium on Intelligent Information Technology Application, 2009
It generally utilized either peer-to-peer overlay network or server clusters to offer wide area network storage service. These network storage systems suffered from performance penalties or single-point failure. This paper proposed a network storage structure which combines regular graph with distributed hash table, and presented corresponding data ...
Jinlin Wang, Lingfang Wang, Lei Song
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Bond-resolved graph-theoretic modeling of structural invariance and metabolic accessibility in drug molecules

Journal of Bioinformatics and Computational Biology
In this paper, we develop a connectivity-exact bond-resolved framework for quantifying structural accessibility and persistence in drug molecules. Representing a molecule as a heavy-atom graph [Formula: see text] each bond is classified uniquely as either a connectivity-critical Entry-point bond ([Formula: see text]) or a connectivity-preserving ...
K. Nalini Devi, G. Srinivasa
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Extended XACML Language and Architecture for Access Control in Graph-structured Data

The 23rd International Conference on Information Integration and Web Intelligence, 2021
Aya Mohamed 0001, Dagmar Auer, Daniel Hofer, Josef Küng   +3 more
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Leveraging Ontologies for Flexible Access to Graph-structured Data

Knowledge Graphs (KGs) are datasets consisting of interconnected labeled entities in a sharable format useful to make different kinds of knowledge available to both humans and machines. Due to their incompleteness, a challenging task in many KG applications is that of query answering, that is, the problem of finding all possible answers to a given ...
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Graph-based neural networks for generation of synthetically accessible molecular structures

Réseaux neuronaux à base de graphes pour la génération de structures moléculaires synthétiquement accessibles Cette thèse est dédiée au développement de génératifs par réseaux de neurones artificiels de graphes et d'un outil de planification rétrosynthétique amélioré par des méthodes d’apprentissage automatique profond.
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EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks

Applied Soft Computing Journal, 2023
Hongjun Wang, Ranran Li
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Structure Evolution on Manifold for Graph Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Hai Wan, Xinwei Zhang, Yubo Zhang
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A unified structure learning framework for graph attention networks

Neurocomputing, 2022
Junyuan Xie
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