Learnability of a hybrid quantum-classical neural network for graph-structured quantum data
Sign Up to like & getrecommendations! Published in 2024 at "Quantum Information Processing"
DOI: 10.1007/s11128-025-04997-y
Abstract: Graph-structured data commonly arise in many real-world applications, and this extends naturally into the quantum setting, where quantum data with inherent graph structures are frequently generated by typical quantum data sources. However, existing state-of-the-art models… read more here.
Keywords: quantum data; graph structured; structured quantum; quantum ... See more keywords
Adaptive and transparent decision-making in autonomous robots through graph-structured world models
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Robotics"
DOI: 10.1080/01691864.2024.2415995
Abstract: ABSTRACT The growing ubiquity of autonomous robots across different fields necessitates that agents adapt to diverse tasks and ensure transparency and intelligibility in their decision-making processes. This study presents a novel framework that combines a… read more here.
Keywords: decision making; language; decision; world ... See more keywords
Categorizing update mechanisms for graph-structured metapopulations
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the Royal Society Interface"
DOI: 10.1098/rsif.2022.0769
Abstract: The structure of a population strongly influences its evolutionary dynamics. In various settings ranging from biology to social systems, individuals tend to interact more often with those present in their proximity and rarely with those… read more here.
Keywords: categorizing update; graph structured; update mechanisms; mechanisms graph ... See more keywords
Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3615830
Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From the perspective of spatial information, empty graph-structured data… read more here.
Keywords: structured data; graph structured; empty graph; graph ... See more keywords
Path to fixation of evolutionary processes in graph-structured populations
Sign Up to like & getrecommendations! Published in 2021 at "European Physical Journal B"
DOI: 10.1140/epjb/s10051-021-00061-7
Abstract: We study the spreading of a single mutant in graph-structured populations with a birth-death update rule. We use a mean-field approach and a Markov chain dynamics to investigate the effect of network topology on the… read more here.
Keywords: fixation; structured populations; graph structured; process ... See more keywords
An adversarial learning approach for discovering social relations in human-centered information networks
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-020-01782-6
Abstract: The analytics on graph-structured data in cyber spaces has advanced many human-centered computing technologies. However, if only utilizing the structural properties, we might be prohibited from unraveling unknown social relations of nodes especially in the… read more here.
Keywords: information; network; graph structured; human centered ... See more keywords