Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices similarly to humans. By organizing information into different forms such as ...

JS-DSA is a comprehensive collection of data structures and algorithms implemented in JavaScript. This project is designed to be a helpful resource for developers, students, and anyone interested in ...

Abstract: Graph unlearning involves removing certain elements, such as edges and nodes, from a trained graph neural network. This research has significant practical implications, such as enabling ...

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

Graclus (latest: Version 1.2) is a fast graph clustering software that computes normalized cut and ratio association for a given undirected graph without any eigenvector computation. This is possible ...

Abstract: In this study, we present a novel approach to adversarial attacks for graph neural networks (GNNs), specifically addressing the unique challenges posed by graphical data. Unlike traditional ...

The original version of this story appeared in Quanta Magazine. Much of mathematics is driven by intuition, by a deep-rooted sense of what should be true. But sometimes instinct can lead a ...