Comments (2)
The model is trained to predict the two dimensional velocity of each node/particle, doing supervised learning on the ground truth velocity, which is why the loss minimizes the squared difference between the output and the velocity. Given the velocity, the predicted position is then calculated as new_position = previous_position + predicted_velocity*timestep
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Closing due to inactivity, please feel free to reopen if necessary.
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Related Issues (20)
- GraphTuple from batched tensors does not offset Senders/Receivers HOT 3
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