IEEE

Fusion Graph Structure Learning-Based Multivariate Time Series Anomaly Detection With Structured Prior Knowledge

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...

Temporal anti-parity–time symmetry offers new way to steer energy through systems

The movement of waves, patterns that carry sound, light or heat, through materials has been widely studied by physicists, as ...
Interesting Engineering

New adaptive system lets robots replicate human touch with far less training data

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.
IEEE

NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs

Abstract: Graph Transformers, emerging as a new architecture for graph representation learning, suffer from the quadratic complexity and can only handle graphs with at most thousands of nodes. To this ...