In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

Software Engineer Creates Tool to Track User Behavior in Data Analysis Software  Recent data shows that using outdated data visualization systems and other ...

The Graph introduces GRC-20, a Web3 data standard redefining how decentralized applications structure and share data.

GORAM is a graph-oriented data structure that guarantees robust privacy protection and enables efficient, sub-linear, ego-centric queries on federated graphs. To obtain useful performance even on ...

This paper presents OPT+Graph, a web-based program visualization tool to support learning programming graph data structure in C. This tool is developed based on pythontutor.com (OPT). The main ...

Deep learning techniques are used for data with an underlying non-Euclidean structure, such as graphs or manifolds, and are known as deep geometric learning. These techniques have previously been used ...