3 papers
cs.LG2026
Convex--Concave Quadratic Spectral Filtering for Graph Neural Networks
Ranhui Yan, Jia Cai, Mengzhu Chen +1
Spectral graph neural networks (GNNs) interpret message passing as frequency-selective filtering. While low-order spectral filters are efficient, their limited selectivity often le…
cs.LG2026
Single-Edge Node Injection Threats to GNN-Based Security Monitoring in Industrial Graph Systems
Wenjie Liang, Ranhui Yan, Jia Cai +1
Graph neural networks (GNNs) are increasingly adopted in industrial graph-based monitoring systems (e.g., Industrial internet of things (IIoT) device graphs, power-grid topology mo…
cs.LG2025
Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
Ranhui Yan, Jia cai
Heterogeneous Graph Neural Networks (HGNNs) have exhibited powerful performance in heterogeneous graph learning by aggregating information from various types of nodes and edges. Ho…