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Showing 1 to 2 of 2 for “"graph pooling"”.

  1. Scalability and interpretability of graph neural networks for small molecules

    In this thesis I examine the use of graph neural networks for prediction tasks in chemistry with an emphasis on interpretable and scalable methods. I propose a novel kernel-inspired graph neural network architecture, called a subgraph matching neural network (SMNN), which is designed to have all …

    mit Repository record for Scalability and interpretability of graph neural networks for small molecules (opens in a new tab)

  2. Exploiting multimodality and structure in world representations

    … Since the world abounds with structure, graph-based encodings are also likely to be incorporated in reasoning and decision-making modules. Furthermore, these relational representations are rather symbolic in nature---providing advantages over other formats, such as raw pixels---and can …

    cambridge Repository record for Exploiting multimodality and structure in world representations (opens in a new tab)