According to @godofprompt on Twitter, leveraging the Theory of Knowledge (TOK) framework in understanding AI-driven business concepts exposes the hidden assumptions and mental models that often hinder ...

Avahi was honored for its breakthrough work with Groopview. The live streaming platform faced a common problem: live streams often have shallow engagement. To address this, Groopview built an AI ...

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 ...

I have calculated an "influence score" on an unweighted and weighted graph. I used BFS algorithm for the unweighted graph and Dijkstra's algorithm for the weighted graph.

Abstract: Graph clustering is a core technique for network analysis problems, e.g., community detection. This work puts forth a node clustering approach for largely incomplete adjacency graphs. Under ...

What is an adjacency list? An adjacency list is a data structure used to represent a (typically directed) graph. There are a few different ways you can model it, but I am thinking of something like ...

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 ...