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 361–370 of 483 papers

TitleStatusHype
Conditional Hybrid GAN for Sequence Generation—0
Constellation: Learning relational abstractions over objects for compositional imagination—0
Construction and Elicitation of a Black Box Model in the Game of Bridge—0
Content+Context=Classification: Examining the Roles of Social Interactions and Linguist Content in Twitter User Classification—0
Context Aware Group Activity Recognition—0
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning—0
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning—0
Cross-Graph Learning of Multi-Relational Associations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified