graph neural networks

Modeling Imbalanced Financial Transactions for Credit Card Fraud Detection Using Machine Learning and Deep Learning Techniques

As the growth of electronic commerce and digital payment systems is increasing at a rapid pace, the menace of credit card fraud has surfaced as a highly advanced global threat with a huge financial loss of billions of dollars on a yearly basis. The conventional fraud detection systems using traditional rule-based syste...

Topology, Autocatalysis, and Epigenetic Control: How Network Architecture Shapes Biological State Transitions Across Scales

Version 3 (2026-09-26) corrects errors found by an independent audit of version 2 and by re-checking every cited arXiv abstract. It removes two overstatements from the abstract (that autocatalytic completeness defines a lower bound on network complexity, and that topological data analysis and GNN attribution independen...

Anorthite-NAD: Nonequilibrium Atomistic Dynamics under Controlled Deformation

Anorthite-NAD is a molecular-dynamics dataset for studying learned nonequilibrium atomistic dynamics under controlled deformation. It contains 36 independent LAMMPS trajectories and 18,000 graph-state transitions of crystalline anorthite (CaAl₂Si₂O₈) at 300 K, spanning isotropic and axis-specific deformation at final s...

PREreview of "Benchmark Label Definition, Not Model Capability, Explains a Machine-Learning Advantage over TD-DFT for λmax Prediction"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22983291. General assessment This manuscript addresses an important and underappreciated problem in computational chemistry and molecular machine learning: apparent differences in p...

PREreview of "Benchmark Label Definition, Not Model Capability, Explains a Machine-Learning Advantage over TD-DFT for λmax Prediction"

This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/22983291. General assessment This manuscript addresses an important and underappreciated problem in computational chemistry and molecular machine learning: apparent differences in p...

Converged Security Architectures for Critical Infrastructure: Post-Quantum Cryptography, Graph Neural Intrusion Detection and Cross-Domain Empirical Validation

This paper introduces a unified, three-layer converged security architecture designed to shield critical digital infrastructure from both classical cyber threats and emerging quantum decryption risks. The architecture integrates a DNA-steganography post-quantum key exchange scheme to secure inter-layer communications,...

Proof of Exhaustive Exclusion for Paths A/B of Navier-Stokes Regularity via GFUM v4.1 Graph Topological Fluid Networks

Based on the GFUM v4.1 neural fluid network framework, this study applies formallogic mathematical induction to execute a proof of exhaustive exclusion and extremequantitative testing regarding the global regularity of the Navier-Stokes (N-S) equations—aMillennium Prize Problem. We construct a complete graph topologica...

Symmetry-Aware INT4 Quantized GNN Decoder: ASIC Synthesis and Low-Latency Surface Code Architecture

Real-time quantum error correction for superconducting processors requires decoding streaming syndrome data within microsecond cycle intervals (T_cycle ≈ 1.1 μs). Classical minimum-weight perfect matching executed on host processors suffers from communication and serial matching bottlenecks, creating an exponential dec...

SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks

Abstract Tissues are complex ecosystems organised in space, and alterations in this organisation underpin multiple diseases. Spatial omics enables molecular profiling of tissue organisation, but linking these patterns to clinical outcomes remains challenging. We present SpaCEy ( Spa tial C linical E xplainabilit y ), a...

Visualized anomaly detection on Bitcoin transaction based on the E-GTNet fusion model and graph database

SMPI Dataset: Molecular Descriptors and SMILES for 33,715 Organic Molecules (smpi-nog33715mols2)

This dataset contains structural molecular property indices (SMPI) calculated for a benchmark collection of 33,715 organic molecules. The dataset is provided as a tab-separated text file (smpi-nog33715mols2.txt) designed for chemoinformatics analysis, quantitative structure-activity/property relationship (QSAR/QSPR) mo...

Reaction Networks, Autocatalytic Sets, and Regulatory Architectures: How Stoichiometric Unification, Sampling Bias, Spatial Context, and Controllability Constraints Jointly Shape a Candidate Framework for Biological Network Design Principles

This version corrects one citation error found by an automated check and confirmed by hand: a paper on self-regulatory communication in evolved neural agents, listed among those considered and not included, was cited under the identifier 2602.02840, which belongs to an unrelated paper; the correct identifier is arXiv:2...