Abstract: The application of Graph Neural Networks for pre-training models for source code is not well studied. We experimented with pre-training a Graph Neural Network model for Python on tasks of ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...

Building a chatbot can feel like an overwhelming task, especially when you’re juggling multiple tools and trying to ensure everything works seamlessly. If you’ve ever found yourself stuck between ...

gDepartment of Parasitology, Graduate School of Medicine, Osaka City University, 1-4-3 Asahi-machi, Abeno-ku, Osaka 545-8585, Japan hDepartment of Nursing Sciences, Graduate School of Biomedical ...

The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate ...

NVIDIA and ArangoDB introduce a solution to boost NetworkX performance for medium-to-large graphs using RAPIDS cuGraph and ArangoDB. NetworkX, a widely-used Python library for graph analytics, often ...