natural-language-processing-19
Relational Reasoning
3260 papers • 126 benchmarks • 313 datasets
The goal of Relational Reasoning is to figure out the relationships among different entities, such as image pixels, words or sentences, human skeletons or interactive moving agents. Source: Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
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CLUTRR (k=3)
CLUTRR (k=3)
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3 papers 2,078
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