The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

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 ...

Despite its computational advantages offered by GPUs in GNN training, the limited GPU memory capacity struggles to accommodate large-scale graph data, making scalability a significant challenge for ...

Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple ...

We design algorithms for maximal assortative matching (MAM, to maximize the assortativity index (AI)) and maximal dissortative matching (MDM, to minimize the assortative index) for complex network ...

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources ...

Quantum computing holds great promise in such such as computational chemistry and high-speed networking. But they’re so ...

Therefore, to address the above shortcomings, this study proposes an efficient privacy preserving federated graph neural network method (PPFedGNN) for social network analysis, thereby achieving dual ...