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 401–450 of 483 papers

TitleStatusHype
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition ApproachCode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
Language-Conditioned Graph Networks for Relational ReasoningCode0
Mandolin: A Knowledge Discovery Framework for the Web of DataCode0
Mapping Natural Language Commands to Web ElementsCode0
Cognitive Knowledge Graph Reasoning for One-shot Relational LearningCode0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Relational Learning for Joint Head and Human DetectionCode0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
Beyond the Doors of Perception: Vision Transformers Represent Relations Between ObjectsCode0
Few-shot Knowledge Graph Relational Reasoning via Subgraph AdaptationCode0
Generalization of CNNs on Relational Reasoning with Bar ChartsCode0
Knowledge Graph Completion via Complex Tensor FactorizationCode0
Modeling Content and Context with Deep Relational LearningCode0
Benchmarking and Understanding Compositional Relational Reasoning of LLMsCode0
Unraveling the geometry of visual relational reasoningCode0
Explaining Local, Global, And Higher-Order Interactions In Deep LearningCode0
Modularized Zero-shot VQA with Pre-trained ModelsCode0
Relational reasoning and generalization using non-symbolic neural networksCode0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQACode0
The relational processing limits of classic and contemporary neural network models of language processingCode0
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image GenerationCode0
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageCode0
Differentially Private Relational Learning with Entity-level Privacy GuaranteesCode0
Relational recurrent neural networksCode0
AS3D: 2D-Assisted Cross-Modal Understanding with Semantic-Spatial Scene Graphs for 3D Visual GroundingCode0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Zero-Shot Relational Learning for Multimodal Knowledge GraphsCode0
Relation Network for Multi-label Aerial Image ClassificationCode0
Distributed Associative Memory Network with Memory Refreshing LossCode0
MUREL: Multimodal Relational Reasoning for Visual Question AnsweringCode0
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learningCode0
Relationships from Entity StreamCode0
When can transformers reason with abstract symbols?Code0
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene GraphCode0
RelNN: A Deep Neural Model for Relational LearningCode0
A simple neural network module for relational reasoningCode0
Object-Oriented Dynamics Learning through Multi-Level AbstractionCode0
Temporal Relational Reasoning in VideosCode0
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation TriadCode0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
One-Shot Relational Learning for Knowledge GraphsCode0
On Inductive Abilities of Latent Factor Models for Relational LearningCode0
Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship DetectionCode0
RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic ProcessingCode0
Spatiotemporal Covariance Neural NetworksCode0
Open-Ended Multi-Modal Relational Reasoning for Video Question AnsweringCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified