How deeply does Sutskever's List cover message passing?

Defines iterative node-state updates and readout, then discusses long-range communication and efficiency designs without formal derivation.

Message passing

As explained in Sutskever's List

Message passing is an iterative graph-computation technique in which nodes send information to neighboring nodes and update their representations.

Message passing lets graph nodes exchange learned information and iteratively update their hidden states. After several rounds, each node represents information from its local neighborhood; pooling can combine node states to predict a property of the whole graph. section 7.3.2

This approach fits molecules, where atoms are nodes and bonds are edges, better than treating them as image grids or sequences. Its communication has a limit: information between distant nodes may require many rounds. Virtual edges can provide additional routes for messages. section 7.3.2

Reducing the cost of a message-passing step

Towers split each node’s wide representation into smaller parts. Each part performs a lightweight message-passing step, then a feedforward network mixes the results. In QM9, eight towers with 200-dimensional states yielded roughly a 2× speedup without meaningful accuracy loss. section 7.3.4

How Sutskever's List covers it

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Also explained in

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Graph Neural Networks in ActionMessage passing is a graph neural network technique in which node representations are updated by aggregating information from neighboring nodes.
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Optimization Algorithms: AI techniques for design, planning, and control problemsMessage passing is a graph-learning technique in which nodes exchange and aggregate information with neighboring nodes to update representations.
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Learn Concurrent Programming with GoMessage passing is a communication approach in which concurrent executions exchange information by sending and receiving messages.
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Elixir in Action, Third EditionMessage passing is interprocess communication in which processes exchange data through runtime messages rather than shared memory.
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Grokking ConcurrencyMessage passing is an interprocess communication technique in which execution contexts exchange data through discrete messages rather than directly sharing memory.
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Knowledge Graphs and LLMs in ActionMessage passing is a graph-neural-network technique in which nodes iteratively exchange, aggregate, and use information from neighboring nodes to update their representations.
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C++ Concurrency in Action, Second EditionMessage passing is a communication technique in which concurrent components exchange information by sending and receiving messages.
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Machine Learning Algorithms in DepthMessage passing is a graph-computation technique in which nodes exchange information with neighboring nodes to update their representations.

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Related concepts

shared memoryalternative to · Shared memory is a memory region or storage area accessible to multiple processes, threads, or other execution components for accessing or exchanging data.
actorused by · An actor is an independent entity or participant that performs actions, maintains or pursues state or goals, and interacts with other entities or systems.
distributed systemused by · A distributed system is a computing system whose components run across multiple networked processes or machines and coordinate through communication.
graph neural networkused by · A graph neural network is a neural-network model that learns representations or predictions from graph-structured data by combining information from connected entities.
embeddingproduces · A numerical vector representation of an item or input that encodes features or relationships useful for computational tasks.
communicating sequential processused by · Communicating Sequential Processes is a formal concurrency model in which independent sequential processes communicate through channels by exchanging messages.

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