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 81–90 of 483 papers

TitleStatusHype
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning AssistanceCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
Character-based recurrent neural networks for morphological relational reasoning—0
Chain of Reasoning for Visual Question Answering—0
Application of Statistical Relational Learning to Hybrid Recommendation Systems—0
Causal Relational Learning—0
Broadcasting Convolutional Network for Visual Relational Reasoning—0
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations—0
A Critical Review of Inductive Logic Programming Techniques for Explainable AI—0
A Statistical Relational Approach to Learning Distance-based GCNs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified