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TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism
In this paper, we address the problem of temporal link prediction in directed networks and propose a deep learning model based on GCN and self-attention mechanism, namely TSAM.
Sparse Coding with Earth Mover's Distance for Multi-Instance Histogram Representation
It attempts to represent the feature vector of a data sample by reconstructing it as the sparse linear combination of some basic elements, and a $L_2$ norm distance function is usually used as the loss function for the reconstruction error.
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