IEEE

Resilient Temporal Graph Convolutional Network for Smart Grid State Estimation Under Topology Inaccuracies

Abstract: Dynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively ...
GitHub

Automatic Cyber Threat Intelligence Knowledge Graph Construction Using Large Language Models

📢 [2026/02] CTINexus was presented as a tutorial at the PRISM Workshop (Co-located with NDSS). 📦 [2025/10] CTINexus Python package released! Install with pip install ctinexus for seamless ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...