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 401–410 of 483 papers

TitleStatusHype
FactorBase: SQL for Learning A Multi-Relational Graphical Model—0
Factor Graph Molecule Network for Structure Elucidation—0
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations—0
FGeo-HyperGNet: Geometric Problem Solving Integrating Formal Symbolic System and Hypergraph Neural Network—0
Financial Risk Assessment via Long-term Payment Behavior Sequence Folding—0
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning—0
Structured Knowledge Grounding for Question Answering—0
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understanding—0
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds—0
Genesis: Towards the Automation of Systems Biology Research—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified