Graph Neural Networks (GNNs ... aiming at helping users quickly build and run large-scale GNNs in a single-machine environment. The library supports various scaling strategies, offers optimized ...

Microsoft Graph provides one unified API to search ... (which is not to be confused with Microsoft’s other KQL, the large-scale data query language, Kusto). KQL allows you to use free text ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of ...

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 ...

Not All Large-Scale Graphs Are Sparse Many current software systems are designed to study large networks that change over time, but they focus on graphs that are very sparse, meaning that each node in ...

a graph-based API orchestration company. The organisation has now announced the Apollo MCP Server, a technology service that connects graph APIs to AI models using the Model Context Protocol (MCP).