This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...

For the fastest way to join Tom's Guide Club enter your email below. We'll send you a confirmation and sign you up to our newsletter to keep you updated on all the ...

1Collaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada. 2International Collaboration on Repair Discoveries ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

The current altcoin bear market has lasted over 1,200 days, surpassing all previous cycles in duration and severity. Despite Bitcoin hitting new highs, altcoins remain suppressed, with total market ...

Hi, I'm Bill. I'm a software developer with a passion for making and electronics. I do a lot of things and here is where I document my learning in order to be able to inspire other people to make ...

Introduction: Voxel hierarchy on dynamic brain graphs is produced by k-core percolation on functional dynamic amplitude correlation of resting-state fMRI. Methods: Directed graphs and their ...

Abstract: Ponzi schemes remain a significant challenge to financial security, particularly on blockchain platforms such as Ethereum, where the autonomy of smart contracts facilitates fraudulent ...