graph neural networks

Few-Shot SAR Ship Recognition via Vision Mamba and Scattering Topology Fusion

Synthetic aperture radar (SAR) ship recognition faces great challenges in few-shot scenarios, including insufficient global context modeling, underutilization of physical scattering topological characteristics, and poor generalization capability under limited labeled samples. To address these bottlenecks, this paper pr...

TeNS: A Temporal Neural Scoring Model for Temporal Knowledge Graph Completion

Strain-Engineered Magnetism, Super-Exchange Physics, and Thermal Phase Transitions in Monolayer Chromium Trihalides CrX3 (X = Cl, Br, I)

This repository contains the Python calculation scripts, raw data JSON files, and publication-quality vector figures supporting the manuscript: "Strain-Engineered Magnetism, Super-Exchange Physics, and Thermal Phase Transitions in Monolayer Chromium Trihalides CrX3 (X = Cl, Br, I)" ### Repository Structure & Contents:...

Data, trained models and code for "STEPHY: A Graph Neural Inference Framework for Rapid Estimation of Regional Epidemic Dynamics from Large Viral Phylogenies"

Data, trained models and code behind STEPHY: A Graph Neural Inference Framework for Rapid Estimation of Regional Epidemic Dynamics from Large Viral Phylogenies (https://doi.org/10.21203/rs.3.rs-10631496/v2). This deposit holds what the paper's results are made of: the simulation benchmark, the trained models, the Danis...

Graph Neural Network-Based Analysis for Digital Logic Circuit Optimization

Abstract Digital logic circuits are becoming increasingly complex, making efficient circuit optimization an important part of Electronic Design Automation (EDA). Traditional circuit optimization methods may require extensive computation and predefined rules when dealing with complex circuit structures. This study aims...

Physics-Informed Neural Networks as Differentiable Surrogates for 4D-Variational Data Assimilation

Biogeochemical forecasting requires state estimation methods that accommodate sparse observations, nonlinear dynamics, and discontinuous ecological processes. Four-dimensional variational data assimilation (4D-Var) addresses this challenge but depends on tangent-linear and adjoint models that are costly to derive and m...

IMOS-SWIL District Heating Dataset

This dataset provides synchronized, high-resolution multi-physics measurements collected by IMOS-EPFL in collaboration with Aalborg University using the controlled district heating testbed at the Smart Water Infrastructures Laboratory (SWIL), Aalborg University, Denmark. The data were collected as part of the Intellige...

Intelligent Digital Logic Circuit Optimization Through Graph Neural Networks

Abstract The increasing complexity of digital logic circuits creates a need for effective methods of circuit analysis and optimization. Conventional Electronic Design Automation (EDA) techniques commonly depend on established algorithms and predefined rules, which can become difficult to apply to more complicated circu...

Learning Circuit Structures for Intelligent Digital Logic Optimization

Abstract Digital logic systems become increasingly difficult to examine and improve as their structures grow in size and complexity. Traditional Electronic Design Automation (EDA) methods generally depend on established algorithms and rule-based procedures, which may become less convenient when many gates and signal co...

KG-TransomicNet: Semantic–Quantitative Property Graph of PheKnowLator and Multi-Omics

KG-TransomicNet Version 1.1.2 · Software · Open · MIT De Filippis, Giovanni Maria · Rinaldi, Antonio Maria A semantic–quantitative property-graph framework that couples the PheKnowLator biomedical knowledge graph with per-sample multi-omics measurements in ArangoDB, enabling trans-omic analysis and knowledge-based reas...

Structure-behavior integrated risk prediction of vehicle groups using Graph Neural Networks.

Accurate identification of vehicle-group-level traffic risk is important for intelligent transportation safety management. Existing risk-prediction studies have mainly focused on individual vehicles, pairwise interactions, or aggregated surrogate safety indicators, while the role of group-level structure-behavior coupl...

Hzw-ZuttoZutto/Revisiting-Locally-Differentially-Private-Graph-Neural-Networks: v2.0.0

No description provided.