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 291–300 of 483 papers

TitleStatusHype
Hyperbolic Manifold Regression—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
Sampling Community Structure—0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases—0
Construction and Elicitation of a Black Box Model in the Game of Bridge—0
A Complete Characterization of Projectivity for Statistical Relational Models—0
Graph-based Kinship Reasoning Network—0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers—0
Causal Relational Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified