In recent years, there has been a growing prevalence of deep learning in various domains, owing to advancements in information technology and computing power. Graph neural network methods within deep ...

ampersend extends Coinbase’s x402 and Google’s A2A frameworks with automation and compliance controls Developed in collaboration with Coinbase, Google, and the Ethereum Foundation’s dAI team Launching ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

This paper addresses the problem of detecting money laundering in the Bitcoin network. Money laundering is the process of handling the proceeds of crime to conceal their illegal source, these illicit ...

"We will need a data availability layer in The Graph’s ecosystem." "Almost all of DeFi uses The Graph." "There's really no decentralized competitor today. The biggest competition is people that are ...