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 421–430 of 483 papers

TitleStatusHype
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning—0
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion—0
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions—0
Higher-order Relational Reasoning for Pedestrian Trajectory Prediction—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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified