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 141–150 of 483 papers

TitleStatusHype
Knowledge Graph Completion via Complex Tensor FactorizationCode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
Adversarial Sets for Regularising Neural Link PredictorsCode0
Few-shot Knowledge Graph Relational Reasoning via Subgraph AdaptationCode0
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense ReasoningCode0
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learningCode0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
AS3D: 2D-Assisted Cross-Modal Understanding with Semantic-Spatial Scene Graphs for 3D Visual GroundingCode0
Complementary Structure-Learning Neural Networks for Relational ReasoningCode0
Learning the meanings of function words from grounded language using a visual question answering modelCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified