3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in robust-traffic-prediction-4
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This work proposes a novel Spatio-Temporal Self-Supervised Learning (ST-SSL) traffic prediction framework which enhances the traffic pattern representations to be reflective of both spatial and temporal heterogeneity, with auxiliary self-supervised learning paradigms.
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