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 131–140 of 483 papers

TitleStatusHype
Learning the meanings of function words from grounded language using a visual question answering modelCode0
Differentially Private Relational Learning with Entity-level Privacy GuaranteesCode0
Language-Conditioned Graph Networks for Relational ReasoningCode0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
Associative TransformerCode0
Knowledge Graph Completion via Complex Tensor FactorizationCode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
A simple neural network module for relational reasoningCode0
Compositional Language Understanding with Text-based Relational ReasoningCode0
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational ReasoningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified