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 191–200 of 483 papers

TitleStatusHype
A Statistical Relational Approach to Learning Distance-based GCNs—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
A Novel Neural-symbolic System under Statistical Relational Learning—0
Distilling Structured Knowledge for Text-Based Relational Reasoning—0
Discriminative Gaifman Models—0
Dilated DenseNets for Relational Reasoning—0
Boosting Neural Language Inference via Cascaded Interactive Reasoning—0
A Multi-Task Perspective for Link Prediction with New Relation Types and Nodes—0
A Critical Review of Inductive Logic Programming Techniques for Explainable AI—0
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified