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Representing Graphs Via Gromov-Wasserstein Factorization

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE(2023)

Cited 11|Views116
Key words
Graph representation,gromov-wasserstein discrepancy,factorizati7on model,neural networks,permutation-invariance
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