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graph neural networks

1,890 papers

#graph neural networks Open access Sep 2026

LLM Prompt Optimization: From Zero-Shot to Automatic Role-Playing Generation Using Ontology

The performance of an LLM application is highly dependent on how the user commands the application through prompts. Previous researchers invented role-play prompting techniques to overcome these problems. Including roles relevant to the task can improve the accuracy of the responses generated by LLMs. Nevertheless, the...

Asyafa Ditra Al Hauna, Siti Khomsah, Andi Prademon Yunus et al. · 0 citations
#graph neural networks Sep 2026

Budgeting urban tree canopy expansion for cooling-benefit equality: A graph neural network-based multi-objective framework

Urban tree canopy coverage (TCC) targets are increasingly used for heat mitigation. However, translating fixed percentage targets into context-specific cooling benefits, population coverage across cooling thresholds, and spatial priorities is essential for making them actionable in planning practice. This study develop...

Jiaxing Ye, Zhidian Jiang, Ruibin Li et al. · 0 citations
#graph neural networks Dataset Open access Sep 2026

Machine Learning-Aided Voltage Stability-Constrained Optimal Power Flow Dataset and Source Code

This repository contains the dataset and source code developed for machine learning-aided voltage stability-constrained optimal power flow (ML-VSCOPF) studies on a modified IEEE 118-bus power system. The dataset contains operating conditions, network topology information, renewable-generation dispatch, load conditions,...

Abdelwahab Bebars, Muhammad R. Hammad, Mahdi Mehrtash et al. · 0 citations
#graph neural networks Open access Sep 2026

Structural characteristics of local cortical networks wired by distance dependent connectivity rules

Abstract Background The function of the cerebral cortex is shaped by its anatomical connectivity, yet experimental findings on connection probabilities in local cortical networks remain inconsistent. This study explores structural characteristics of local cortical networks based on distance dependent, Gaussian connecti...

Bernhard Hellwig · 0 citations
#graph neural networks Open access Sep 2026

PVmatAgent: A Large Language Model (LLM) Agent for Perovskite Photovoltaic Material Design and Analysis

The rapid advancement of large language models (LLMs) has opened new opportunities for materials informatics. However, LLMs fall short in photovoltaic (PV) material design due to their lack of domain grounding, unreliable outputs, and inability to perform integrated computational tasks. To address these issues, this...

Hang-Yuan Deng, Yu-Yan Wu, You-Le Wang et al. · 0 citations
#graph neural networks Open access Sep 2026

Artificial Intelligence-Driven Personalized Employment Guidance for College Students: Model Construction and Effectiveness Evaluation

This paper proposes an AI-empowered personalized employment guidance system integrating multi-modal deep learning, graph neural network-based collaborative filtering, and knowledge graph enhancement within an adaptive multi-algorithm fusion framework, addressing the limitations of insufficient personalization and low...

Long-Yao Dai, Fei-Fei Fu · 0 citations
#graph neural networks Open access Sep 2026

RA-STGNN-AMR: Forecast-filter-rank Spatio-temporal Graph Learning for Resilient and Energy-feasible AGV/AMR Fleet Coordination

Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) are central to flexible material handling, yet conventional shortest-path and reactive planners cannot anticipate congestion and typically treat battery status, workstation availability, human-zone risk and disruption recovery as separate decisions.Th...

Vijaya Bhaskar Sadu, Lokireddi Venkata Venu Gopala Rao, Alluru Gopala Krishna · 0 citations
#graph neural networks Open access Sep 2026

Hzw-ZuttoZutto/Revisiting-Locally-Differentially-Private-Graph-Neural-Networks: AEC artifact v1.1.0

This release updates the AEC artifact to the latest remote main snapshot. Highlights: Complete AEC notebook reproduction paths and updated run configuration. Parallel fixed AEC batches across GPUs with a 10 ms scheduler cadence. Vendor artificial_node_feature_generator into the repository and remove the old submodule r...

Hzw-ZuttoZutto · 0 citations
#graph neural networks Open access Sep 2026

Integrated blockchain-federated learning framework for IOT security

The rapid expansion of the Internet of Things (IoT) introduces complex, multi-layered security challenges that centralized security models and conventional intrusion detection systems struggle to address. This paper presents a multi-layer security framework that integrates Blockchain for decentralized trust management,...

Sourav Sadhukhan, Promita Dey, Gunjan Mukherjee · 0 citations
#graph neural networks Open access Sep 2026

Approximate graph-fibration symmetry in connectome-constrained neural networks: code and results

Analysis and simulation code (loaders for the Janelia male CNS v1.0 and FlyWire v783 connectomes, an independent leaky integrate-and-fire implementation with Shiu et al. 2024 constants, mirror-symmetrisation and shuffle interventions, static mirror-defect analyses, quotient-network simulation, a teacher-student tying-g...

Ryota Shibusawa · 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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