I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

What is Graph Data Science? The simple answer is that it is the branch of data science which employs graph data structures and graph analytical techniques. It includes data modeling and data ...

Direct Acyclic Graph or DAG may be it. What is DAG? DAG is a directed graph data structure that uses a topological ordering. The sequence can only go from earlier to later.

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

A research team led by Bing Qin introduces a novel method for Knowledge Graph Completion using higher-order neighbor subgraphs to address sparsity issues, demonstrating its effectiveness in a ...

How does a DAG work? As mentioned, a directed acyclic graph is more efficient at data storage. Its structure is tree-like, with interconnected nodes as its ‘branches.’ Since each node can have ...