Let’s explore Memgraph deep path traversal algorithms, how they work, and how they enhance query processing and boost performance in large-scale gra

Memgraph’s Deep Path Traversal Capabilities

submited by

Style Pass

2024-04-25 08:00:02

Let’s explore Memgraph deep path traversal algorithms, how they work, and how they enhance query processing and boost performance in large-scale graph environments.

In contrast to other graph databases, Memgraph deep path traversals efficiently handle complex graph queries, as these algorithms have been built into Memgraph's core. This eliminates the need for the overhead of business logic on the application side.

The DFS algorithm starts at the root node and explores each neighboring node as far as possible. The moment it reaches a dead-end, it backtracks until it finds a new, undiscovered node, then traverses from that node to find more undiscovered nodes. In that way, the algorithm visits each node in the graph.

DFS returns all the paths found between given nodes and is the most suitable for determining the existence of paths between two nodes in a graph. If the algorithm's output is null, no paths are available between the nodes. The DFS algorithm will provide all possible paths if the output is not null.

You can filter relationships by type by defining the type after the relationship list variable. You decide the direction by adding or removing an arrow from the dash, constrain the path length and constrain the expansion based on property values.