Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.

Ian says AI is starting to behave more like a coworker. And it turns out researchers have been tracking the reason why this ...

Here are strategic revision techniques, important topics, diagram practice, and exam-day strategies to help CBSE Class 12 ...

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

A decentralized cloud security framework uses attribute-based encryption to enable fine-grained access control without centralized ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already known about genes, diseases, treatments, molecular pathways and symptoms in ...

The figure depicts the four-step，Graph-based Retrieval - Augmented Generation (RAG) process for the RSA - KG system, which aims to integrate multimodal data for RSA diagnosis and treatment. Recurrent ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...