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 161–170 of 483 papers

TitleStatusHype
A Learning Algorithm for Relational Logistic Regression: Preliminary Results—0
Abstraction and Relational learning—0
HR-RCNN: Hierarchical Relational Reasoning for Object Detection—0
Graph-based Kinship Reasoning Network—0
Graph-Based Knowledge Integration for Question Answering over Dialogue—0
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning—0
Hybrid SRL with Optimization Modulo Theories—0
Graph Collaborative Reasoning—0
Hyperlink Regression via Bregman Divergence—0
Geometric Relational Embeddings: A Survey—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified