graph neural networks

Credit Scoring Dataset

This repository contains the dataset used in the paper titled "SPSEG: Soft Priors Guided and Community Structure Enhanced Graph Neural Networks for Enterprise Credit Assessment".

Consistent Vulnerability Detection Using Graph Neural Networks

FFmpg+Qemu: https://drive.google.com/drive/folders/1fz5Eunyy8k2YCXvoCIYPyVdruQ7Ch1cU?usp=sharing BigVul: https://drive.google.com/drive/folders/1hswJoJLhdFfUNA2eP1CH8ea7ybuNRy-o?usp=sharing ReposVul: https://drive.google.com/drive/folders/19NJ2twQ1GHLSw0cAPYI5Gn-kljFZ-MHF?usp=sharing

Credit Scoring Dataset

This repository contains the dataset used in the paper titled "SPSEG: Soft Priors Guided and Community Structure Enhanced Graph Neural Networks for Enterprise Credit Assessment".

Physics-Informed Graph Neural Networks for Dynamical Systems with Symplectic Velocity-Verlet Integration

A Comparative Review of Machine Learning Algorithms for Weather Prediction: Performance, Challenges, and Future Perspectives

Weather prediction is a complex forecasting problem because atmospheric variables interact across time and space, observations are heterogeneous, and useful forecasts must remain reliable across different lead times and weather regimes. Numerical weather prediction (NWP) remains a major operational approach, while mach...

CAST-GNN Dataset and materials for Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via GNNs

CAST-GNN first release Data and code for the paper CAST-GNN: Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via Graph Neural Networks [1]. [1] G. A. T. Özbulak, Y. R. Shrestha and J. -P. Calbimonte, "CAST-GNN: Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via Graph Neu...

Consistent Vulnerability Detection Using Graph Neural Networks

Consistent Vulnerability Detection Using Graph Neural Networks

FFmpg+Qemu: https://drive.google.com/drive/folders/1fz5Eunyy8k2YCXvoCIYPyVdruQ7Ch1cU?usp=sharing BigVul: https://drive.google.com/drive/folders/1hswJoJLhdFfUNA2eP1CH8ea7ybuNRy-o?usp=sharing ReposVul: https://drive.google.com/drive/folders/19NJ2twQ1GHLSw0cAPYI5Gn-kljFZ-MHF?usp=sharing

CAST-GNN Dataset and materials for Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via GNNs

CAST-GNN first release Data and code for the paper CAST-GNN: Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via Graph Neural Networks [1]. [1] G. A. T. Özbulak, Y. R. Shrestha and J. -P. Calbimonte, "CAST-GNN: Continual Adaptive Learning for Custom Spatio-Temporal Knowledge Graphs via Graph Neu...

Towards trustworthy system latency optimization of Positron Emission Tomography with RBC and GNN

Positron Emission Tomography (PET) is a highly sensitive imaging instrument, and its system latency plays a pivotal role in real-world applications. We propose a novel trustworthy optimization method to reduce PET system latency by leveraging Role-Based Collaboration (RBC) and Graph Neural Networks (GNN). First, we est...

Consistent Vulnerability Detection Using Graph Neural Networks

Artificial Intelligence in Electronic Design Automation: A Survey on Logic Synthesis and Netlist Optimization

Modern digital integrated circuits contain very large numbers of logic gates, and the conventional heuristics used in logic synthesis and netlist optimization struggle to explore the resulting design space efficiently. Artificial Intelligence (AI) and Machine Learning (ML) have therefore been investigated as complement...