Planview, the leading end-to-end platform for Strategic Portfolio Management (SPM) and Digital Product Delivery (DPD), today announced Connected Work Graph, dependency intelligence that leverages ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Kirchhoff graphs are a new type of graph, one whose edges are vectors. They depict the dependencies in sets of vectors, and in this regard, they are akin to matroids. Indeed every binary matroid is ...

Implement a feature that visualizes rule dependency graphs in the RulesEngine administration portal and/or API. This will help users understand how rules and workflows interconnect, making it easier ...

JetBrains has released Ktor 3.2.0, an update to the Kotlin-based framework for building asynchronous applications that brings modules for dependency injection and HTMX and automatic deserialization of ...

When a dataset has multiple parents the get_dependency_graph is not having the expected behaviour. Example: I have created this example with 3 datasets that depend on each other like this figure: When ...

Abstract: Image inpainting attempts to fill in missing areas of corrupted images. Previous works used diverse prior information as constraints to recover high-quality images. Nevertheless, these ...