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 241–250 of 483 papers

TitleStatusHype
Distilling Structured Knowledge for Text-Based Relational Reasoning—0
Modeling Content and Context with Deep Relational LearningCode0
The Curious Case of Stacking Boosted Relational Dependency Networks—0
Analogical and Relational Reasoning with Spiking Neural Networks—0
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
Scale-Localized Abstract ReasoningCode1
Conditional Hybrid GAN for Sequence Generation—0
Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal RepresentationsCode1
Learning from Protein Structure with Geometric Vector PerceptronsCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified