Inspired by Maus, Persepolis, and Anne Frank, bringing empathy to one of modern history's most complex conflicts.

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...

It's one of the most iconic covers in rock history.

Measles can spread in crowded travel settings such as airports, planes, trains, tourist attractions and large events, and ...

Is your feature request related to a problem? Please describe. The cluster graphical representations in resources page is currently a modal over the resources pages, w/o direct URL to get this modal ...

Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...

Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...

An HR advisor with a background in recruitment and HRIS functions, with a passion for video games and writing. Oliver grew up playing Call of Duty with his siblings and has garnered 1000s of hours ...

Abstract: Recently emerged label noise-resistant graph representation learning (LNR-GRL) has received increasing attention, which aims to enhance the generalization of graph neural networks (GNNs) in ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...

Introduction: Predicting interactions between microRNAs (miRNAs) and messenger RNAs (mRNAs) is crucial for understanding gene expression regulation mechanisms and their roles in diseases. Existing ...