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 251–260 of 483 papers

TitleStatusHype
Improving Scene Graph Classification by Exploiting Knowledge from Texts—0
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning—0
Context Aware Group Activity Recognition—0
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
Interpretable Reinforcement Learning With Neural Symbolic Logic—0
Relational Learning with Variational Bayes—0
Graph Networks with Spectral Message Passing—0
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion—0
Factor Graph Molecule Network for Structure Elucidation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified