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 431–440 of 483 papers

TitleStatusHype
Zero-Shot Relational Learning for Multimodal Knowledge GraphsCode0
Relation Network for Multi-label Aerial Image ClassificationCode0
Distributed Associative Memory Network with Memory Refreshing LossCode0
MUREL: Multimodal Relational Reasoning for Visual Question AnsweringCode0
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learningCode0
Relationships from Entity StreamCode0
When can transformers reason with abstract symbols?Code0
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene GraphCode0
RelNN: A Deep Neural Model for Relational LearningCode0
A simple neural network module for relational reasoningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified