This library solves the problem of working with graphs in a structured, reusable way. It provides implementations of essential graph algorithms that are commonly used in computer science applications, ...

This engine models spatial networks as directed graphs with weighted edges. Core use cases include shortest-path computation, reachability analysis, and finding optimal routes under ...

Abstract: Heterogeneous graph embedding has recently advanced with two primary directions: self-supervised learning to address the scarcity of labeled data and metapath-free approaches to eliminate ...