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

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 ...

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 disruptive, indicating that the changes may have been more subtle than game ...

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

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

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

Graph analytics is a hot topic, but what does it mean? At the DC GraphTour, I learned the difference between graph queries, graph algorithms, and graph analytics. Next up: San Francisco GraphTour.