3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in graph-to-graph-translation-11
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Use these libraries to find graph-to-graph-translation-11 models and implementations
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Diverse output distributions in the model are explicitly realized by low-dimensional latent vectors that modulate the translation process and show that the model outperforms previous state-of-the-art baselines.
This work substantially extends prior state-of-the-art on graph-to-graph translation methods for molecular optimization and realizes coherent multi-resolution representations by interweaving the encoding of substructure components with the atom-level encoding of the original molecular graph.
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