STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Abstract: Change point detection is crucial for identifying state transitions and anomalies in dynamic systems, with applications in network security, health care, and social network analysis. Dynamic ...

Discover how to replace traditional Excel chart objects with clean, customizable in-cell visualizations using a single ...

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for network operators to scale AI-driven operations, deploy ...

Abstract: Neuroimaging analysis aims to reveal the information-processing mechanisms of the human brain in a noninvasive manner. In the past, graph neural networks (GNNs) have shown promise in ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.