Abstract: Graph pattern matching searches a data graph for all instances of one or more query patterns. Since it is one of the most fundamental problems in graph analytics, many graph pattern matching ...

Abstract: Graph convolutional neural network (GCN) extends deep learning to process graph data and demonstrates superior performance. However, due to the irregularity, graphs show inconsistent ...

Stella Osoba is the Senior Editor of trading and investing at Investopedia. She co-founded and chaired Women in Technical Analysis. She has 15+ years of experience as a financial writer and technical ...

Excel is still the most popular tool for organizing and analyzing data, and today's professionals are expected to have a high ...

Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

This week, Morgan Wallen's I'm the Problem sits at No. 1 on the Billboard 200 albums chart again. But the two titles just ...

The crypto market is buzzing again, and this time Cardano (ADA) is stealing the spotlight. After weeks of trading inside a ...

The beloved Downton Abbey franchise is coming to an end on Sept. 12, with the upcoming film Downton Abbey: The Grand Finale.

A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...

1. Multi-source data compatibility: Able to interface with structured data (such as tabular data), semi-structured data (such ...

AI-Powered Trading Platform in 2025 Exion Edge is a cutting-edge AI-powered trading platform launched in 2025, designed to ...

Cardano (ADA) trades inside a descending parallel channel. Cardano has completed a long-term corrective structure. Can ...