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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 141–150 of 483 papers

TitleStatusHype
Context Aware Group Activity Recognition—0
Attention on Abstract Visual Reasoning—0
Content+Context=Classification: Examining the Roles of Social Interactions and Linguist Content in Twitter User Classification—0
Construction and Elicitation of a Black Box Model in the Game of Bridge—0
A Three-Way Model for Collective Learning on Multi-Relational Data—0
Graph-based Kinship Reasoning Network—0
Constellation: Learning relational abstractions over objects for compositional imagination—0
Conditional Hybrid GAN for Sequence Generation—0
Concept Representation Learning with Contrastive Self-Supervised Learning—0
A Study of Compositional Generalization in Neural Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified