Abstract: In the field of link prediction in graph neural networks, existing graph neural network models have difficulty effectively integrating node structural features and latent features, which ...
Abstract: This paper proposes a computationally efficient method for pose-graph optimization that makes use of a multi-resolution representation of pose-graph transformation constructed on a spanning ...
Can spectral feature transformations enable simple MLPs to compete with Graph Neural Networks? GraphSpec investigates whether graph-aware spectral transformations can bridge the performance gap ...
The majority of other information websites display prices from a single source, most of the time from one retail broker-dealer. At FXStreet, traders get interbank rates coming from a systematic ...
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