GitHub

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

We conduct the experiments on a Linux server with an Intel Xeon Gold 6226R CPU and two Tesla V100S GPUs. We implement our method with PyTorch 1.11.0 and Pytorch Geometric 2.0.4.
IEEE

A Review of Graph Neural-Networks for EEG-Based Emotion-Recognition: Tackling Data-Imbalance, Noise, and Out-of-Distribution Generalization

Abstract: Electroencephalogram (EEG)-based emotion recognition has attracted a great deal of interest due to its potential uses in human-computer interaction, healthcare, and brain-computer interfaces ...
IEEE

GSPO-LAD: A Graph Neural Network-Based Sensor Placement and Anomaly Detection in Water Distribution Systems

Abstract: AI-based sensor placement for anomaly detection in water distribution systems (WDS) enhances system reliability and efficiency. Advanced WDS are attractive targets for malicious actors who ...