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Generative Graph Pattern Machine

Published in neural information processing systems • Jan 1, 2025
Authors:
Zehong Wang
,
Zheyuan Zhang
,
Tianyi Ma

Abstract

Graph neural networks (GNNs) have been predominantly driven by message-passing, where node representations are iteratively updated via local neighborhood aggregation. Despite their success, message-passing suffers from fundamental limitations -- including constrained expressiveness, over-smoothing, ...

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