Information Propagation Through Graph Neural Networks and Relation to the Brain

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A popular theory of intelligence argues that intelligence arises from the connections between primitive computing units rather than the computing units themselves. Interestingly, neurons in the brain form topological structures for processing different types of information. We are exploring the relationship between graph topology and model performance using Graph Neural Networks, and comparing our findings to known phenomena in the brain.