Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...

Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...

Photoshop cc 2014 tutorial showing how to design and create a custom, dynamic, split-colors logo comprised of off-registered color channels. Royalty Free Music provided by Beatsuite. High quality, ...

Inclusive leadership involves actively fostering an environment where every employee feels valued and integral to the organization’s targets. This study aims to illustrate the positive impact of ...

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 ...

A TechRadar article noted that nearly 90% of enterprise information (documents, emails, videos) lies dormant in unstructured systems. This "dark data" isn't just neglected; it's a liability. GenAI ...

Imagine you’re tasked with analyzing two datasets—one containing a list of products and another with customer segments. How do you uncover every possible pairing to identify untapped opportunities?

The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. TL;DR: Microsoft Office 2024 Home works for ...