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 201–250 of 483 papers

TitleStatusHype
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning—0
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph CompletionCode1
Agent-Centric Representations for Multi-Agent Reinforcement Learning—0
Object-Centric Representation Learning for Video Question Answering—0
Graph-based Facial Affect Analysis: A Review—0
Unified Graph Structured Models for Video Understanding—0
Prototypical Representation Learning for Relation ExtractionCode1
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQACode0
Inductive Relation Prediction by BERTCode1
A Relational-learning Perspective to Multi-label Chest X-ray Classification—0
Learning Symbolic Operators for Task and Motion PlanningCode1
A Universal Model for Cross Modality Mapping by Relational Reasoning—0
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking—0
A Statistical Relational Approach to Learning Distance-based GCNs—0
Improving Scene Graph Classification by Exploiting Knowledge from Texts—0
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning—0
Context Aware Group Activity Recognition—0
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering—0
Relational Learning with Variational Bayes—0
GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural NetworksCode1
Interpretable Reinforcement Learning With Neural Symbolic Logic—0
Distributed Associative Memory Network with Association Reinforcing Loss—0
Graph Networks with Spectral Message Passing—0
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
Logic Tensor NetworksCode1
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion—0
Factor Graph Molecule Network for Structure Elucidation—0
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Relational Learning for Skill Preconditions—0
Multi-choice Relational Reasoning for Machine Reading Comprehension—0
Graph-Based Knowledge Integration for Question Answering over Dialogue—0
Open-Ended Multi-Modal Relational Reasoning for Video Question AnsweringCode0
Self-Supervised Time Series Representation Learning by Inter-Intra Relational ReasoningCode1
Play Fair: Frame Attributions in Video ModelsCode1
Modular Graph Attention Network for Complex Visual Relational Reasoning—0
Modelling Compositionality and Structure Dependence in Natural Language—0
Towards Abstract Relational Learning in Human Robot Interaction—0
Classification by Attention: Scene Graph Classification with Prior Knowledge—0
Skeleton-based Relational Reasoning for Group Activity Analysis—0
Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification—0
Distilling Structured Knowledge for Text-Based Relational Reasoning—0
Modeling Content and Context with Deep Relational LearningCode0
The Curious Case of Stacking Boosted Relational Dependency Networks—0
Analogical and Relational Reasoning with Spiking Neural Networks—0
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
Scale-Localized Abstract ReasoningCode1
Conditional Hybrid GAN for Sequence Generation—0
Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal RepresentationsCode1
Learning from Protein Structure with Geometric Vector PerceptronsCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified