What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

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 ...

Redshift, Graph DB), understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop, etc.) 8-12 years of experience as a data engineer in developing and ...

Alternatively, checkout an example notebook that uses llmgraph and you can run directly in Google Colab. Here are some more examples of the HTML graph output for different entity types and root ...

Instead, they need a dynamic approach that provides real-time insights into how attackers move through their environment. This is where attack graphs come in. By mapping potential attack paths, they ...

Meanwhile, the field of graph machine learning is witnessing a paradigm transition from shallow methods to more sophisticated deep learning approaches. The capabilities of foundation models in ...

This demo illustrates a graph processing pipeline for analyzing financial transaction data, combining Redpanda's streaming capabilities with PuppyGraph's graph analytics. Users can perform complex ...

Abstract: Out-of-distribution (OOD) detection poses a signifi-cant challenge for Graph Neural Networks (GNNs), particularly in open-world scenarios with varying distribution shifts. Most existing OOD ...