An e-commerce personalized recommendation system is proposed, which combines Graph Convolution Network (GCN) and Large Data Optimization. The system constructs the graph structure of electronic ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Graph Neural Networks are one of the most robust paradigms for analyzing complex, related, and tightly coupled datasets. The main objective of this paper is to use any of the emerging data analytics ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

moleculaRnetworks contains novel analysis algorithms and techniques unavailable elsewhere. These include graph theory-based analyses of network structure, including clustering of solvent molecules ...