Abstract: Causal graph representation learning has been an essential tool for improving the performance achieved in downstream tasks such as link prediction in causal graphs. Most of the existing ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.