Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many ...

But, although IBM is starting to commercialise Watson's technology, and Google released its Cayley open source graph database in 2014, the graph technologies used by the social networks are ...

By exploring and expanding each of the nodes in your graph, you can build the network and see the connections across the samples you are studying. By clicking on the nodes, you can see at a glance ...

This is a guest post for the Computer Weekly Developer Network written by Henrik Plate in his capacity as a security researcher at Endor Labs - a company known for its approach to ‘reachability ...

In this talk, I shall introduce our ongoing works about the synergy of graph data management and graph machine learning in the context of graph neural network explainability and query answering. In ...

Examples of big graph data in the real world include complex networks, such as social networks and the Web graph, and the map graph used to represent traffic networks. The Complex Network and Map ...

The effort will reinvent computer architecture, dramatically increasing efficiency and scalability for graph computing. Such a scope will be necessary to efficiently analyze the world’s largest graphs ...

Graph matching remains a core challenge in computer vision, where establishing correspondences between features is crucial for tasks such as object recognition, 3D reconstruction and scene ...