Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.

Abstract: In light of the growing emphasis on the right to be forgotten of graph data, machine unlearning has been extended to unlearn the graph structures’ knowledge from graph neural networks (GNNs) ...

Dr. Slotkin is a neurosurgeon. I recently got called to see a teenager ejected in a rollover car crash. The trauma team rushed him into surgery to stop major abdominal bleeding, but we all knew. When ...

Abstract: Graph neural network is a new neural network model in recent years, whose advantage lies in processing graph structure data. In the era of big data, people can collect a large amount of ...

Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

Data visualization is a powerful technique that transforms complex data into easily understandable visual representations. Let us explore how data visualization can help with graphs. Applying data ...

Neo4j is the world's leading graph database, with native graph storage and processing.. Neo4j is the world's leading graph database, with native graph storage and processing.. Neo4j is the world's ...

The timely and accurate prediction of maize (Zea mays L.) yields prior to harvest is critical for food security and agricultural policy development. Currently, many researchers are using machine ...