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

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Showing 61–70 of 483 papers

TitleStatusHype
Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal RepresentationsCode1
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringCode1
CORE-Text: Improving Scene Text Detection with Contrastive Relational ReasoningCode1
Few-shot Relational Reasoning via Connection Subgraph PretrainingCode1
Large Language Models can Learn RulesCode1
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from TextCode1
Learning from Protein Structure with Geometric Vector PerceptronsCode1
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only ModalityCode1
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning AssistanceCode1
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified