[HTML][HTML] Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study
Abstract The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined
with a plethora of Quality of Service and Quality of Experience requirements. Resource …
with a plethora of Quality of Service and Quality of Experience requirements. Resource …
Multi-service demand forecasting using graph neural networks
T Theodoropoulos, A Makris… - … on Service-Oriented …, 2023 - ieeexplore.ieee.org
Accurate service demand forecasting is crucial towards achieving effective resource
allocation and service orchestration. However, existing solutions require separate prediction …
allocation and service orchestration. However, existing solutions require separate prediction …
BeComE: A Framework for Node Classification in Social Graphs
A Gopan, Z Kobti - Procedia Computer Science, 2024 - Elsevier
In this study, we explore the important role of graph embedding methods in extracting
valuable insights from graph structures, specifically focusing on node classification tasks. It …
valuable insights from graph structures, specifically focusing on node classification tasks. It …
Contextual similarity learning for image retrieval and classification: applications in person re-identification
LP Valem - 2024 - repositorio.unesp.br
The exponential growth of image collections has demanded a significant increase in the use
of machine learning and image retrieval applications across various scenarios. Despite the …
of machine learning and image retrieval applications across various scenarios. Despite the …
A semantic rank-based graph embedding
FA Fernando - 2020 - repositorio.unesp.br
Grafos são ferramentas poderosas, capazes de capturar relações complexas existentes
entre objetos. Em decorrência de sua robustez e flexibilidade, diversas aplicações podem …
entre objetos. Em decorrência de sua robustez e flexibilidade, diversas aplicações podem …