is planar (can be drawn in the plane without edge crossings), contains the maximum possible number of edges among all planar subgraphs of the original graph, is NP-hard to compute in the general case.

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 ...

如何让AI智能体（Agent）像人类一样拥有持久的记忆，从而在复杂的连续任务中保持上下文感知和深度理解？这已成为构建高级智能体的核心挑战。本文将深入探讨Agent ...

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 ...