Abstract: Graph Neural Networks (GNNs) enable effective machine learning on graph-structured data, but their performance and scalability are often limited by the irregular structure and large size of ...
As Europe pursues AI sovereignty, the PyTorch Foundation believes the continent's greatest strength lies not just in building ...
An enigmatic feature of frozen soils can be explained in part by non-Newtonian fluid physics. Enter the Oobleck.
Heterogeneous Graph Transformer is a graph neural network architecture that can deal with large-scale heterogeneous and dynamic graphs. You can see our WWW 2020 paper “Heterogeneous Graph Transformer” ...
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