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 101–125 of 483 papers

TitleStatusHype
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in TransformersCode1
Medical Image Analysis using Deep Relational Learning—0
Your Diffusion Model is Secretly a Zero-Shot ClassifierCode2
Enhancing Embedding Representations of Biomedical Data using Logic Knowledge—0
Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection—0
Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational ReasoningCode0
Heterogeneous Graph Contrastive Learning for RecommendationCode1
Weighted First Order Model Counting with Directed Acyclic Graph Axioms—0
Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical ModelsCode0
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps—0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection—0
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation—0
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning—0
SrTR: Self-reasoning Transformer with Visual-linguistic Knowledge for Scene Graph Generation—0
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response SelectionCode1
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
Learning Probabilistic Temporal Safety Properties from Examples in Relational Domains—0
Lifted Inference with Linear Order Axiom—0
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning—0
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization—0
Few-shot Relational Reasoning via Connection Subgraph PretrainingCode1
Coresets for Relational Data and The ApplicationsCode0
Relational program synthesis with numerical reasoningCode1
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Show:102550
← PrevPage 5 of 20Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified