In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

Currently, PyTorch supports CUDA Graph features under torch.cuda namespace, providing capture, replay functionality via C++ CUDAGraph implementation. This RFC proposes to generalize the existing graph ...

In this tutorial, we explore how to leverage the PyBEL ecosystem to construct and analyze rich biological knowledge graphs directly within Google Colab. We begin by installing all necessary packages, ...

This project provides a custom implementation of a weighted graph in Java, using adjacency lists to represent the graph's structure. The graph is used to find the shortest path and minimum spanning ...

The event brougth together high-level representatives from participating 50-in-5 countries, global leaders, and stakeholders in the digital public infrastructure (DPI) and digital public goods (DPGs) ...

To prove termination of Java Bytecode (JBC) automatically, we transform JBC to finite termination graphs which represent all possible runs of the program. Afterwards, the graph can be translated into ...

Abstract: Graph theory has played a vital role in implementation of many mathematical and computer applications [8]. The immensely critical role of graph theory calls for an efficient methodology of ...

Abstract: Cycles and knots in directed graphs are problems that can be associated with deadlocks in database and communication systems. Many algorithms to detect cycles and knots in directed graphs ...