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 411–420 of 483 papers

TitleStatusHype
Geometric Relational Embeddings: A Survey—0
Graph-based Facial Affect Analysis: A Review—0
Graph-based Kinship Reasoning Network—0
Graph-Based Knowledge Integration for Question Answering over Dialogue—0
Graph Collaborative Reasoning—0
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel—0
Graph Networks with Spectral Message Passing—0
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective—0
Graph-to-Vision: Multi-graph Understanding and Reasoning using Vision-Language Models—0
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified