Crypto’s getting loud again. The buzz isn’t just about Bitcoin halving cycles or Ethereum upgrades anymore. What’s taking ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

Discover how parallel coding with AI tools like Claude Code and Cursor is transforming software development with faster, real ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

This restriction significantly hinders the learning of micro-activity behaviors of ships. To overcome this, we introduce Graph Isomorphic Network (GIN), a new variant of graphical neural networks with ...

Our approach employs an iterative and parallel interference removal strategy inspired by parallel interference cancellation (PIC), enhanced with deep learning to jointly tackle the AD, CE, and DD ...

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021) : https://arxiv.org/abs/2102.11533. In ...