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 331–340 of 483 papers

TitleStatusHype
User Profiling Using Hinge-loss Markov Random Fields—0
Variational Deep Logic Network for Joint Inference of Entities and Relations—0
Variational Quantum Circuit Model for Knowledge Graphs Embedding—0
VC-Dimension Based Generalization Bounds for Relational Learning—0
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
Lifted Inference with Linear Order Axiom—0
Show:102550
← PrevPage 34 of 49Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified