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Masked Graph Autoencoder for Trajectory Prediction by fan071229 is a document available to read on EtoBox.

What is Masked Graph Autoencoder for Trajectory Prediction about?

The document presents a masked graph autoencoder-based multi-agent dynamic relational inference model (MGAE-MDRI) for trajectory prediction in complex multi-agent systems. This model addresses issues of graph noise and inaccurate trajectory predictions by integrating a mask reconstruction module and a graph attention network-based path sampler. Experiments show that MGAE-MDRI outperforms existing models, demonstrating improved robustness in trajectory prediction tasks.

Author

fan071229

Language

EN