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 276–300 of 483 papers

TitleStatusHype
Sampling Community Structure—0
SARN: Relational Reasoning through Sequential Attention—0
Scalable Statistical Relational Learning for NLP—0
Schema Independent Relational Learning—0
SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction—0
Search Space Properties for Learning a Class of Constraint-based Grammars—0
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos—0
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction—0
Shifting the Human-AI Relationship: Toward a Dynamic Relational Learning-Partner Model—0
Skeleton-based Relational Reasoning for Group Activity Analysis—0
SkILL - a Stochastic Inductive Logic Learner—0
Slice Normalized Dynamic Markov Logic Networks—0
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network—0
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels—0
Solving Raven's Progressive Matrices with Multi-Layer Relation Networks—0
Sparse Relational Reasoning with Object-Centric Representations—0
Spatial Knowledge Distillation to aid Visual Reasoning—0
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition—0
Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction—0
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking—0
Facial Action Unit Detection via Adaptive Attention and Relation—0
SQL for SRL: Structure Learning Inside a Database System—0
Deep Message Passing on Sets—0
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies—0
Statistical relational learning and neuro-symbolic AI: what does first-order logic offer?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified