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 91–100 of 483 papers

TitleStatusHype
A Novel Neural-symbolic System under Statistical Relational Learning—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Boosting Neural Language Inference via Cascaded Interactive Reasoning—0
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
Domain-Liftability of Relational Marginal Polytopes—0
Boosting gets full Attention for Relational Learning—0
LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs—0
MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence—0
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified