The journey from unstructured data (texts, images, etc.) to a fully structured knowledge graph—rich in facts, logical constraints, and recursive rules—is complex and challenging, but the ...

For example, with graph traversal, you could trace a path from “Client A” to other clients in the same industry who also use HubSpot and share the goal of increasing social media engagement.

Graph algorithms are extremely important for programmers working on complex data structures. This includes breadth-first search, dynamic programming techniques, and the Floyd-Warshall algorithm. These ...

Text-Attributed Graphs (TAGs) form the foundation of GraphRAG, representing graph data with textual attributes for nodes and edges. Graph Neural Networks (GNNs) model this graph data using ...

The game involves navigating a tower's floor map, collecting keys, and reaching exits efficiently. Players start at a designated point, explore the map, and strategically plan routes to minimize ...

In BFS algorithm, a graph is traversed in layer-by-layer fashion. point. The queue is used to implement BFS. Example: Suppose you have given a tree structure and asked to calculate the average of ...