SOTAVerified

Relational Reasoning

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

Papers

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Showing 481–483 of 483 papers

TitleStatusHype
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning—0
Ranking relations using analogies in biological and information networks—0
Abstraction and Relational learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified