Skip to content

Category

graph neural networks

2,227 papers

#graph neural networks Open access Sep 2026

Biomimetic Spiking Neural Graph Dynamics: Neuromorphic Memory Consolidation and Neurotransmitter Modulation in Autonomous Cognitive Operating Systems

Version 2.0 (Camera-Ready Release): Major Mathematical & Algorithmic Revisions This version (v2.0) delivers a peer-reviewed, camera-ready scientific edition incorporating rigorous mathematical foundations, improved formal proofs, and publication-grade typographical refinements: Sub-threshold Soma Gating Lemma (Theorem...

Hai Nguyen · 0 citations
#graph neural networks Open access Sep 2026

A hierarchical graph learning framework for VR-based motor imagery decoding driven by MVMD and feature optimization

VR-based AO+MI paradigm is found to enhance sensorimotor connectivity and promote large-scale network integration, indicating more coordinated neural dynamics during MI tasks, and a hierarchical graph learning framework tailored for VR-based MI decoding is proposed.

Kai-Yue Du, Wen-Wen Chang, Wei-Xuan Kong et al. · 0 citations
#graph neural networks Open access Sep 2026

Datasets, Trained Graph Neural Network Models, and Source Code for Protein Binding Site Residue Prediction

This record contains the datasets, trained graph neural network models, and source code supporting the manuscript “Enhancing protein binding site residue prediction with graph neural networks: impacts of cutoff distance and feature selection.”

Serena H. Chen · 0 citations
#graph neural networks Review Open access Sep 2026

Antibody-drug conjugate engineering: from design to efficacy and safety

Antibody–drug conjugates (ADCs) represent a rapidly expanding class of targeted cancer therapeutics that combine the high selectivity of monoclonal antibodies with the potent cytotoxic activity of small-molecule drugs. Their clinical success relies on the simultaneous optimization of multiple interdependent parameters,...

Alberto Ocaña, J. R. Espinosa, C. Alonso-Moreno et al. · 0 citations
#graph neural networks Open access Sep 2026

Code and frozen results for: Auditing Site-Dependent Performance in Transductive Population Graph Neural Networks for Multisite Autism fMRI

Reproducibility software and frozen analysis artifacts for the study "Auditing Site-Dependent Performance in Transductive Population Graph Neural Networks for Multisite Autism fMRI". The release includes the deterministic evaluation harness, recovered per-seed outer-fold generation partitions, the reconstructed mean-fo...

Keliang Wan, Herman Z. Q. Chen, Guixian Liu et al. · 0 citations
#graph neural networks Open access Sep 2026

OISES-Graph-Surrogate: geometry-aware surrogate modelling and inverse design of origami-inspired super-expandable scaffolds

Virtual laboratory and graph neural surrogate for origami-inspired super-expandable scaffolds in distraction osteogenesis: co-rotational beam and pore-scale Stokes solvers, an STL-to-graph front end, a multi-task heteroscedastic Scaffold Graph Network, parametric baselines, and the optimisation, ablation and repetition...

Sagor Das, Md. Tamzid Islam, Sanzida Afrin et al. · 0 citations
#graph neural networks Open access Sep 2026

Constraint-Guided LLM-GNN Framework for Anomalous Journal Entry Detection in Auditing

Journal Entry Testing (JET) is a fundamental audit procedure to identify any potential misstatements, fraud, and management override of controls. Traditional rule-based JET methods suffer from high false positive rates and limited ability to detect complex anomaly patterns. Recent work has shown that large language mod...

Jiaming Chen, Yuanjie Jin, Manqing Wang et al. · 0 citations
#graph neural networks Open access Sep 2026

Rapid prediction of full-field stress evolution during drilling of carbon fiber reinforced polymer: A finite element database-driven graph recurrent surrogate model

Stress evolution during carbon fiber reinforced polymer (CFRP) drilling governs drilling-induced damage and strongly affects hole quality and the structural reliability of aerospace components. Rapid and accurate prediction of stress-field evolution is essential for online process optimization and damage control. Exper...

Lin Peng, Zhanwei Zhou, Weilin He et al. · 0 citations
#graph neural networks Open access Sep 2026

Code and frozen results for: Auditing Site-Dependent Performance in Transductive Population Graph Neural Networks for Multisite Autism fMRI

Reproducibility software and frozen analysis artifacts for the study "Auditing Site-Dependent Performance in Transductive Population Graph Neural Networks for Multisite Autism fMRI". The release includes the deterministic evaluation harness, recovered per-seed outer-fold generation partitions, the reconstructed mean-fo...

Keliang Wan, Herman Z. Q. Chen, Guixian Liu et al. · 0 citations

From tech blogs

See all →
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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.