[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

MathWorks, a leading developer of mathematical simulation and computing software, revealed that a ransomware gang stole the data of over 10,000 people after breaching its network in April. The company ...

The deep learning-based approaches to Tabular Data Learning (TDL), classification and regression, have shown competing performance, compared to their conventional counterparts. However, the latent ...

Information-technology departments within corporations deal with a lot of busy work—from answering tech support questions to giving employees access to laptops and phones. That’s exactly why one ...

Explore data on 30 major news sources with our interactive tool Americans now navigate a quickly changing information environment, with a wide variety of news sources across many different platforms ...

Real-world data is often costly, messy, and limited by privacy rules. Synthetic data offers a solution—and it’s already widely used: SDV (Synthetic Data Vault) is an open-source Python library that ...

Over the first 100 days of his second administration, President Donald Trump, working in concert with Elon Musk’s DOGE proxy—which it still seems a stretch to consider a bona fide government ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Diffbot, a small Silicon Valley company ...

A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...