Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...

Abstract: Graph neural networks provide a powerful frame-work for recommendation systems by capturing dependencies through message passing and modeling user-item interactions using an adjacency matrix ...

Abstract: Subgraph matching (SM) is a fundamental problem in graph data analysis. Real-world patterns used in graph analysis are often symmetric and contain isomorphic substructures, but existing SM ...

Graph Agent empowers you to orchestrate complex workflows, particularly suited for LLM applications, agentic systems, data processing pipelines, and more. It emphasizes a functional approach with ...