👉 Graph Computing, or GTC, is a paradigm that focuses on processing and analyzing complex networks of interconnected data, such as social networks, transportation systems, or biological pathways. Unlike traditional computing models that handle data in a linear fashion, GTC leverages the inherent structure of these networks to perform operations more efficiently. It utilizes graph data structures and algorithms to represent relationships and traverse connections, enabling parallel processing across multiple nodes. This approach is particularly advantageous for tasks involving large-scale data, real-time analytics, and complex problem-solving, such as network optimization, recommendation systems, and fraud detection. By exploiting the interconnected nature of data, GTC can significantly reduce computational complexity and improve performance in scenarios where traditional methods struggle.
