PRISM iteratively transforms semantic priors into behavior-conditioned posteriors via cross-modal refinement to improve representation learning on dynamic text-attributed graphs.
A comprehensive survey of dynamic graph neural networks: Models, frameworks, benchmarks, experiments and challenges.IEEE Transactions on Knowledge and Data Engineering, 2025
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PRISM: Iterative Cross-Modal Posterior Refinement for Dynamic Text-Attributed Graphs
PRISM iteratively transforms semantic priors into behavior-conditioned posteriors via cross-modal refinement to improve representation learning on dynamic text-attributed graphs.