graph neural networks

PNS basic project data und region selection data.

Rat Peripheral Nervous System (PNS) Connectome DatasetThis dataset provides a literature-derived anatomical connectivity representation of the rat peripheral nervous system (PNS), including its interfaces with the central nervous system (CNS) and peripheral target organs. It was compiled to support systematic graph-the...

Combined DFT/GNN analysis of compositional disorder and defects in MeX 2 (Me = Mo, W; X = S, Se) monolayers

Abstract Chemical disorder and point defects critically influence the properties of two-dimensional (2D) materials, but their theoretical description is limited by the vast configurational space of possible atomic arrangements, which is intractable for conventional first-principles methods such as density functional th...

A graph convolutional network method for rapid global stiffness prediction under multiple damage scenarios

Accurately predicting the overall structural stiffness under damage conditions is a crucial aspect of structural health monitoring, as it is essential for ensuring the safety and reliability of engineering structures, given that damage significantly impairs load-bearing capacity. Currently, research on structural stiff...

HOME & AMBULATORY CLOSED-LOOP NEURAL RECOVERY AT THE LIMIT HOME & AMBULATORY CLOSED-LOOP NEURAL RECOVERY AT THE LIMIT is a large-scale research monograph on the transition of adaptive neural recovery systems from controlled laboratories into homes, ambulatory settings, and everyday life. It asks a deceptively difficult question: what happens to the scientific meaning of a closed loop when the environment stops cooperating with the experiment?

HOME & AMBULATORY CLOSED-LOOP NEURAL RECOVERY AT THE LIMIT HOME & AMBULATORY CLOSED-LOOP NEURAL RECOVERY AT THE LIMIT is a large-scale research monograph on the transition of adaptive neural recovery systems from controlled laboratories into homes, ambulatory settings, and everyday life. It asks a deceptively difficult...

zhangyinning/AtomSight-GNN: AtomSight-GNN

This repository accompanies the paper: Yinning Z., et al., "AtomSight-GNN: a global feature-attention layer that extracts reproducible, property-specific chemical drivers from crystal graph neural networks" (2026). It contains the source code and data pipeline for AtomSight-GNN, which integrates a global feature-dimens...

neuroVIISAS software for windows and unix

This Figshare record provides the current executable releases of neuroVIISAS for Microsoft Windows and Linux.neuroVIISAS is a Java-based software environment for the construction, visualization, and quantitative analysis of neuroanatomical connectivity networks. The software supports the integration of anatomically def...

QGSL-GNSS: Q-Learning-Based Adaptive Graph Structure Learning for Semi-Supervised GNSS Interference Classification

Jamming devices often pose a significant threat to Global Navigation Satellite System (GNSS) signals by disrupting position navigation and timing (PNT) services. Consequently, reliable detection and classification of interference types are essential for developing effective anti-jamming strategies. However, most existi...

MicroWeaver: A Constraint-Guided Structure–Semantic Aware Approach to Automated Microservice Decomposition

Microservice architecture is a pivotal paradigm for refactoring monolithic systems to improve maintainability and evolvability. However, automated, explainable decomposition remains a difficult task, especially when balancing structural soundness with semantic consistency in complex legacy systems. We present MicroWeav...

Learning to Triage Vulnerability Reports from Program Analysis: An Empirical Study in Node.js

Program analysis tools often produce large volumes of candidate vulnerability reports that require costly manual review, creating a practical challenge: how can security analysts prioritize the reports most likely to be true vulnerabilities? This paper investigates whether machine learning can be applied to prioritizin...

Nowcasting officially reported highly pathogenic avian influenza outbreak counts under heterogeneous reporting delays

Official animal disease series are often incomplete due to delays in reporting. This retrospective observational study evaluated whether increased model complexity enhances probabilistic nowcasts of eventual officially reported outbreak-equivalent counts. We reconstructed historical information states from a fixed extr...

Replication package: evaluation protocol validity in graph neural network link prediction on sparse collaboration networks

Derived datasets, per-run experiment outputs, and analysis code for a study benchmarking graph neural network link prediction under alternative evaluation protocols on sparsely sampled collaboration networks, including a bibliographic co-authorship validation, a synthetic preferential-attachment mechanism simulation, h...

DrugMiR: A Multi-Source Heterogeneous Graph Neural Network with Adaptive Feature-Embedding Fusion for Predicting miRNA-Mediated Drug Resistance and Sensitivity