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 301–325 of 483 papers

TitleStatusHype
Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning—0
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning—0
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping—0
Weighted First Order Model Counting with Directed Acyclic Graph Axioms—0
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module—0
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation—0
MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligence—0
Relational reasoning and inductive bias in transformers trained on a transitive inference task—0
LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMs—0
3D Part Assembly Generation with Instance Encoded Transformer—0
A Boosting Approach to Learning Graph Representations—0
Abstraction and Relational learning—0
A Complete Characterization of Projectivity for Statistical Relational Models—0
A Concept-Centered Hypertext Approach to Case-Based Retrieval—0
A Critical Review of Inductive Logic Programming Techniques for Explainable AI—0
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations—0
Adaptive Convolution for Multi-Relational Learning—0
Adding Distributional Semantics to Knowledge Base Entities through Web-scale Entity Linking—0
Agent-Centric Representations for Multi-Agent Reinforcement Learning—0
A Learning Algorithm for Relational Logistic Regression: Preliminary Results—0
A logic-based relational learning approach to relation extraction: The OntoILPER system—0
A Modern Take on Visual Relationship Reasoning for Grasp Planning—0
A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning—0
Analogical and Relational Reasoning with Spiking Neural Networks—0
Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified