Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...

Python's ascent to becoming one of the most popular programming languages is not merely a consequence of its simplicity and readability; it's also due to its robust capabilities in handling data ...

Over the past few years, graph neural networks and graph transformers have been successfully used to analyze graph-structured data, mainly focusing on node classification and link prediction tasks.

This repository provides an automated code graph analysis pipeline built on jQAssistant and Neo4j. It supports Java and experimental TypeScript analysis, capturing both the structure and evolution of ...

Abstract: Blockchain technology is ushering in another breakout year, the challenge of blockchain still remains to be solved. This paper analyzes the features of Bitcoin and Bitcoin-NG system based on ...

The ability of graph neural networks (GNNs) to deal with graph data structures has made them suitable for real-life applications in social networks, bioinformatics, and navigation and planning ...