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A hybrid graph representation for exact graph algorithms
Published 2014“…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
Published 2022“…The base layer utilizes an optimized distributed file system and a scalable graph data store to reduce the performance penalty. …”
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Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems
Published 2023“…On top of this, we propose a new structure that is based on graph isomorphism networks. Computational experiments show that this new structure is significantly more efficient than basic structures. …”
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On the disk dimension of planar graphs
Published 2011“…More significantly, we devise a direct and highly practical linear-time algorithm to decide whether an arbitrary graph has fixed disk dimension k or less. …”
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Domain Adaptation with Adversarial Training and Graph Embeddings
Published 2018“…We propose a novel model that performs adversarial learning based domain adaptation to deal with distribution drifts and graph based semi-supervised learning to leverage unlabeled data within a single unified deep learning framework. …”
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EEG-Based Multi-Level Mental State Classification Using Partial Directed Coherence and Graph Convolutional Networks: Impact of Binaural Beats on Stress Mitigation
Published 2025“…This study addresses limitations in EEG-based stress detection research by developing a novel approach to differentiate multiple mental states in different stress baseline population samples. …”
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Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD
Published 2024“…Traditionally, scholars have focused on identifying the longest and shortest Sanad between two Narrators, but in MIS, the emphasis shifts to determining the optimum/authentic Sanad, considering narrator qualities. The graph representation of the authentic and manually curated dataset will open ways for the development of computational models that could identify the significance of a chain and a narrator. …”
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Supporting secure dynamic alert zones using searchable encryption and graph embedding
Published 2023“…We focus on a prominent SE technique in the public-key setting–hidden vector encryption, and propose a graph embedding technique to encode location data in a way that significantly boosts the performance of processing on ciphertexts. …”
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Brain Connectivity Analysis Under Semantic Vigilance and Enhanced Mental States
Published 2019“…BRMUS factors, such as fatigue, depression, and anger, significantly decrease in the enhancement group compared to vigilance group. …”
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SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network
Published 2025“…The proposed model processes raw ECG signals using a TCN-based feature extractor, followed by spectral graph convolutions via a GCN. …”
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through...
Published 2021“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Graphical Insight: Revolutionizing Seizure Detection with EEG Representation
Published 2024“…We construct a graph representation of EEG signals by extracting features such as frequency-based, statistical-based, and Daubechies wavelet transform features. …”
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Functional Connectivity Analysis under Vigilance Decrement and Enhanced Mental States
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The urban regeneration’s framework for transit villages in Qatar: the case of Al Sadd in Doha
Published 2022“…The strategy for monitoring and assessing the potential benefits of the investigated TOD is grounded on the on-site analysis (based on graph theory) of two indices: (1) built environment diversity and density and (2) travel behavior. …”
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Degree-Based Network Anonymization
Published 2020“…A corresponding graph realization approach is introduced based on a reduction to the Weighted Edge Cover problem, which in turn is solved using Integer Linear Programming to obtain the best possible solution. …”
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Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance
Published 2025“…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”
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