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

Showing 481483 of 483 papers

TitleStatusHype
Recurrent Relational NetworksCode0
Recurrent Relational Networks for complex relational reasoningCode0
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99Unverified