In the context of the digital economy, digital transformation has become a key driver for enterprises to develop new quality productivity, while the business environment plays a crucial role in ...

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 ...

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for tech jobs. Many people try to just grind through tons of problems, but ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive ...

The BPC's Commission on the American Workforce proposes a national talent strategy to align how $250 billion in federal ...

Abstract: This paper proposes an automatic framework for controlled data flow graph (CDFG) generation from verilog designs, where the generated CDFGs can be applied to visualization, formal ...

This PathRAG Demo App is a comprehensive knowledge graph-based Retrieval-Augmented Generation (RAG) system that combines document processing, chat functionality, and knowledge graph visualization in a ...