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 271–280 of 483 papers

TitleStatusHype
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification—0
Modeling Content and Context with Deep Relational LearningCode0
The Curious Case of Stacking Boosted Relational Dependency Networks—0
Analogical and Relational Reasoning with Spiking Neural Networks—0
Conditional Hybrid GAN for Sequence Generation—0
Relational Algorithms for k-means Clustering—0
Propagating Over Phrase Relations for One-Stage Visual Grounding—0
Distributed Associative Memory Network with Memory Refreshing LossCode0
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs—0
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified