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 221–230 of 483 papers

TitleStatusHype
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement—0
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning—0
Structured Knowledge Grounding for Question Answering—0
Learning Relational Representations with Auto-encoding Logic Programs—0
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning—0
Learning Generative Models across Incomparable Spaces—0
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction—0
Learning Over Dirty Data Without Cleaning—0
Learning Probabilistic Logic Programs in Continuous Domains—0
Financial Risk Assessment via Long-term Payment Behavior Sequence Folding—0
Show:102550
← PrevPage 23 of 49Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified