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 111–120 of 483 papers

TitleStatusHype
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension—0
Discriminative Gaifman Models—0
Boosting Neural Language Inference via Cascaded Interactive Reasoning—0
Distilling Structured Knowledge for Text-Based Relational Reasoning—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
A Novel Neural-symbolic System under Statistical Relational Learning—0
Does Entity Abstraction Help Generative Transformers Reason?—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
Domain-Liftability of Relational Marginal Polytopes—0
Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified