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graph neural networks

1,828 papers

#graph neural networks Open access Sep 2026

Graph Neural Networks for Predicting Digital Circuit Performance in Electronic Design Automation

Electronic Design Automation (EDA) is important in the development of modern digitalcircuits because it helps designers analyze and improve circuits before they are manufactured. Ascircuits become more complex, traditional methods can require many design iterations beforeimportant performance factors can be estimated a...

Giovanni Alvero · 0 citations

Distinct Thalamostriatal Functional Network Dysregulation in Comorbid Insomnia and Sleep Apnea.

STUDY OBJECTIVES Comorbid insomnia and sleep apnea (COMISA) is a prevalent and clinically challenging phenotype, yet the neural substrates distinguishing it from isolated obstructive sleep apnea (OSA) remain elusive. We employed a multimodal graph theoretical approach to identify the structural and functional network p...

Dongyeop Kim, Seunghu Kim, Euijin Kim et al. · 0 citations
#reinforcement learning Open access Sep 2026

AI-Augmented Logic Synthesis for Edge-Deployed Swimmer Detection Systems

Vision-based swimmer and drowning detection systems, built primarily on lightweight YOLO architectures, have achieved measurable gains in accuracy while shrinking model size for resource-constrained edge hardware. However, Field-Programmable Gate Array (FPGA) accelerators hosting these models continue to rely on conven...

Luigi Bautista · 0 citations
#graph neural networks Open access Sep 2026

Manifesto of Symbiotic Homeoresis: Universal Civilizational Benchmark for Ethical AI, Salutogenesis, and Humanity Protection (Full Package & Axiomatic Core Digest)

Анотація Цей інтегрований пакет документів є єдиним суверенним депозитом, що містить повний текст та інваріантне категоріально-математичне ядро Маніфесту Симбіотичного Гомеорезу українською та англійською мовами. Праця проголошує фундаментальний гуманітарний та категоріальний зсув: Людина є єдиним суверенним Суб'єктом...

К. Надутый, Igor Naida, Yuriy Yekhanurov et al. · 0 citations
#graph neural networks Dataset Open access Sep 2026

Conjunto de Dados Geoespaciais e Roteiro Computacional para Análise de Acessibilidade Areal às UBS de Teresina-PI (AE2SFCA)

Análise da acessibilidade geográfica às Unidades Básicas de Saúde (UBS) em Teresina, Piauí: uma rotina computacional aberta e reprodutível para o diagnóstico multimodal de iniquidades territoriais em saúde Conjunto de dados geoespaciais (entradas, produtos intermediários e resultados) do Relatório Técnico de Mestrado d...

Felipe Ramos Dantas · 0 citations
#graph neural networks Book Open access Sep 2026

Probing the LLMs for Generating User Profile of Session-based Social Recommendation

Session-based social recommendation aims to enhance session-based recommendation by incorporating social network information, making it particularly useful in cold-start scenarios. Existing SSR methods predominantly rely on graph neural networks to model social relationships, which often introduces computational ineffi...

Meng-Ying Lu, Hai-Tao Zheng, Lan Zhou et al. · 0 citations
#graph neural networks Open access Sep 2026

Messages Passed Along the Edges: A Historical Development Review of Graph Neural Networks for Relational Data

This article presents a narrative review of Graph Neural Networks for Relational Data in the context of Artificial Intelligence. The literature on this topic has expanded substantially over recent decades, yet it remains fragmented across subfields, methods, and national research traditions. Drawing on an interpretive...

Zen Revista, 10 IA · 0 citations
#graph neural networks Open access Sep 2026

Optimal Design of the Microwave Oven Magnetic Shunt Transformer Using Physics-Based Equivalent Circuit Model and GNN-Guided NSGA-III Method

Magnetic shunt transformers (MSTs) used in microwave ovens are designed with deliberately high leakage inductance for current limiting and voltage regulation. This requirement couples the core dimensions, winding parameters, shunt geometry, material cost, and power losses. This paper presents an optimal design strategy...

Peng Gao, Zexu Su, Buwen Zhang et al. · 0 citations
#graph neural networks Dataset Open access Sep 2026

Conjunto de Dados Geoespaciais e Roteiro Computacional para Análise de Acessibilidade Areal às UBS de Teresina-PI (AE2SFCA)

Análise da acessibilidade geográfica às Unidades Básicas de Saúde (UBS) em Teresina, Piauí: uma rotina computacional aberta e reprodutível para o diagnóstico multimodal de iniquidades territoriais em saúde Conjunto de dados geoespaciais (entradas, produtos intermediários e resultados) do Relatório Técnico de Mestrado d...

Felipe Ramos Dantas · 0 citations

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Microsoft Research Blog Jul 13, 2026

Verifying Rust cryptography in SymCrypt, from standards to code

Cryptographic code supports vital protections in modern computing systems. Learn how a new method helps verify code as developers write it while preserving speed and adaptability as it gets implemented and evolves. The post Verifying Rust cryptography in SymCrypt, from standards to code appeared first on Microsoft Research.

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