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 181–190 of 483 papers

TitleStatusHype
Higher-order Relational Reasoning for Pedestrian Trajectory Prediction—0
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning—0
How to construct a multi-lingual domain ontology—0
HR-RCNN: Hierarchical Relational Reasoning for Object Detection—0
Hybrid SRL with Optimization Modulo Theories—0
Hyperbolic Manifold Regression—0
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning—0
Hyperlink Regression via Bregman Divergence—0
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds—0
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified