Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant professor at Graz University of Technology, Graz, Austria. Roderick Bloem ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...

Astronomers have long relied on supercomputers to simulate the immense structure of the Universe, but a new tool called Effort.jl is changing that. By mimicking the behavior of complex cosmological ...

RtBrick has released its State of Disaggregation report, examining the current state of networks globally and telecom operators’ efforts to address surging customer demands. The survey revealed ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Cornell engineers have built the first fully integrated “microwave brain” — a silicon microchip that can process ultrafast data and wireless signals at the same time, while using less than 200 ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

Aerosol effects on climate, weather, and air quality depend on characteristics of individual particles, which are tremendously diverse and change in time. Particle-resolved models are the only models ...