Abstract: Multi-view subspace clustering employs learned self-representation from multiple tensor decompositions to exploit the low-rank information. However, the data structures embedded with ...
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Abstract: Hypergraph neural networks (HyperGNNs) are a family of deep neural networks designed to perform inference on hypergraphs. HyperGNNs follow either a spectral or a spatial approach, in which a ...
Burn is both a tensor library and a deep learning framework optimized for numerical computing, model inference and model training. Burn leverages Rust to perform optimizations normally only available ...