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The adjacency matrix, a key data structure in graph theory, encodes connections between nodes. It is essential for implementing the message passing algorithm used in modern graph neural networks. This tutorial will provide definitions and examples in Python to clarify these concepts. Join the mailing list and Discord server for more resources. Let's construct the adjacency matrix for a simple graph with nodes one, two, and three connected in a chain.