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A heterogeneous graph neural network with automatic discovery of effective metapaths for drug–target interaction prediction
A heterogeneous graph neural network with automatic discovery of effective metapaths for drug–target interaction prediction
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A heterogeneous graph neural network with automatic discovery of effective metapaths for drug–target interaction prediction

Zhang, Menglong ; Hong, Yue ; Shen, Lian ; Xu, Shiyu ; Xu, Yanni ; Zhang, Xinyi ; Liu, Juan ; Liu, Xiangrong

Future generation computer systems, 2024-11, Vol.160, p.283-294 [Periódico revisado por pares]

Elsevier B.V

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The g-extra connectivity of graph products
The g-extra connectivity of graph products
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The g-extra connectivity of graph products

Wang, Zhao ; Mao, Yaping ; Hsieh, Sun-Yuan ; Klasing, Ralf ; Xiao, Yuzhi

Journal of computer and system sciences, 2024-11, Vol.145, p.103552, Article 103552 [Periódico revisado por pares]

Elsevier Inc

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Optimizing B+-tree for hybrid memory with in-node hotspot cache and eADR awareness
Optimizing B+-tree for hybrid memory with in-node hotspot cache and eADR awareness
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Optimizing B+-tree for hybrid memory with in-node hotspot cache and eADR awareness

Jin, Peiquan ; Chu, Zhaole ; Liu, Gaocong ; Luo, Yongping ; Wan, Shouhong

Frontiers of Computer Science, 2024-10, Vol.18 (5), p.185606, Article 185606 [Periódico revisado por pares]

Beijing: Higher Education Press

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4
Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture
Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture
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Multi-task federated learning-based system anomaly detection and multi-classification for microservices architecture

Hao, Junfeng ; Chen, Peng ; Chen, Juan ; Li, Xi

Future generation computer systems, 2024-10, Vol.159, p.77-90 [Periódico revisado por pares]

Elsevier B.V

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5
From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability
From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability
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From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability

Huaranga-Junco, Edgar ; González-Gerpe, Salvador ; Castillo-Cara, Manuel ; Cimmino, Andrea ; García-Castro, Raúl

Future generation computer systems, 2024-10, Vol.159, p.134-150 [Periódico revisado por pares]

Elsevier B.V

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Adding topology and memory awareness in data aggregation algorithms
Adding topology and memory awareness in data aggregation algorithms
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Adding topology and memory awareness in data aggregation algorithms

Tessier, François ; Vishwanath, Venkatram ; Jeannot, Emmanuel

Future generation computer systems, 2024-10, Vol.159, p.188-203 [Periódico revisado por pares]

Elsevier B.V

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7
Adaptive Scheduling of Continuous Operators for IoT Edge Analytics
Adaptive Scheduling of Continuous Operators for IoT Edge Analytics
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Adaptive Scheduling of Continuous Operators for IoT Edge Analytics

Ntumba, Patient ; Georgantas, Nikolaos ; Christophides, Vassilis

Future generation computer systems, 2024-09, Vol.158, p.277-293 [Periódico revisado por pares]

Elsevier B.V

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8
Online computation with untrusted advice
Online computation with untrusted advice
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Online computation with untrusted advice

Angelopoulos, Spyros ; Dürr, Christoph ; Jin, Shendan ; Kamali, Shahin ; Renault, Marc

Journal of computer and system sciences, 2024-09, Vol.144, p.103545, Article 103545 [Periódico revisado por pares]

Elsevier Inc

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9
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation
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Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation

Li, Keqin

Journal of grid computing, 2024-09, Vol.22 (3), p.60, Article 60

Dordrecht: Springer Netherlands

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Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing
Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing
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Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing

Zhou, Zheyu ; Wang, Qi ; Li, Jizhou ; Li, Ziyuan

Journal of grid computing, 2024-09, Vol.22 (3), p.59, Article 59

Dordrecht: Springer Netherlands

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