Cameras and editing programs have a useful tool for evaluating exposure. Here's what you need to know about the histogram and ...

ABSTRACT: Let G=( V,E ) be a graph. The first Zagreb index of a graph G is defined as ∑ u∈V d G 2 ( u ) , where d G ( u ) is the degree of vertex u in G . In this paper, we obtain two lower bounds ...

Abstract: Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an ...

Abstract: This paper addresses the resilient leader-follower consensus problem for discrete-time high-order multi-agent systems with time-varying graphs. A resilient control law is proposed for each ...

Official implementation for ICLR'25 paper ''Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs''[arxiv], by Yuhan Chen*, Yihong Luo*, Yifan Song, Pengwen ...

Machine learning is the science of constructing algorithms that learn from data and in the case of computer vision, to image and video data. The proliferation of data and the availability of high ...

One powerful way to do this is through a routine called slow reveal graphs.

For example, why pay for a separate, small discrete GPU when the NPU and integrated graphics can handle all but the most ...

Donald Trump's popularity may be dipping among Americans in recent polls, but it also shows that his presidential job approval rating is still higher than his first term average or former President ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...