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 181–190 of 483 papers

TitleStatusHype
Character-based recurrent neural networks for morphological relational reasoning—0
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data—0
Chain of Reasoning for Visual Question Answering—0
Application of Statistical Relational Learning to Hybrid Recommendation Systems—0
Causal Relational Learning—0
Domain-Liftability of Relational Marginal Polytopes—0
Broadcasting Convolutional Network for Visual Relational Reasoning—0
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
Does Entity Abstraction Help Generative Transformers Reason?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified