A GAN predictor that multiplies graph attention by random edge weights reports strong ETH/UCY results, but the random-weight mechanism is neither specified nor ablated.
An empirical study of travel behavior using private car trajectory data,
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Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights
A GAN predictor that multiplies graph attention by random edge weights reports strong ETH/UCY results, but the random-weight mechanism is neither specified nor ablated.