Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time. This means that the increasing complexity of the graphs increased the algorithm's running time ...

Graphs are used to model complex systems, and GNNs provide a way to analyze and make predictions based on the structure of the graph. GNNs are a type of deep-learning algorithm that can operate on ...

The new algorithm checks planarity in a number of steps proportional to the cube of the logarithm of the number of nodes in the graph — an exponential improvement. Holm and Rotenberg, a computer ...

Graph neural networks (GNN) are a type of machine learning algorithm that can extract important information from graphs and make useful predictions.