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

Showing 301350 of 483 papers

TitleStatusHype
Learning Over Dirty Data Without Cleaning0
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning0
Solving Raven's Progressive Matrices with Multi-Layer Relation Networks0
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming0
Deep Sets for Generalization in RL0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning0
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective0
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring0
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors0
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network0
Evaluating the Progress of Deep Learning for Visual Relational Concepts0
Estimating Aggregate Properties In Relational Networks With Unobserved Data0
Domain-Liftability of Relational Marginal Polytopes0
A logic-based relational learning approach to relation extraction: The OntoILPER system0
A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children0
Facial Action Unit Detection via Adaptive Attention and Relation0
User Profiling Using Hinge-loss Markov Random Fields0
Improving End-to-End Object Tracking Using Relational Reasoning0
Knowledge Graph Embedding via Graph Attenuated Attention Networks0
Relational Mimic for Visual Adversarial Imitation Learning0
Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos0
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations0
Transfer Learning in Visual and Relational Reasoning0
SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction0
Attention on Abstract Visual Reasoning0
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense ReasoningCode0
Interaction Relational Network for Mutual Action RecognitionCode0
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction0
Relational Learning for Joint Head and Human DetectionCode0
Deep Message Passing on Sets0
RuDaS: Synthetic Datasets for Rule Learning and Evaluation ToolsCode0
PARN: Position-Aware Relation Networks for Few-Shot LearningCode0
Relationships from Entity StreamCode0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
The Impact of Semantic Linguistic Features in Relation Extraction: A Logical Relational Learning Approach0
Hyperlink Regression via Bregman Divergence0
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling0
Relation Network for Multi-label Aerial Image ClassificationCode0
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning0
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems0
Cognitive Knowledge Graph Reasoning for One-shot Relational LearningCode0
WikiDataSets: Standardized sub-graphs from WikidataCode0
Relational Reasoning using Prior Knowledge for Visual Captioning0
Composition of Sentence Embeddings: Lessons from Statistical Relational Learning0
Adaptive Convolution for Multi-Relational Learning0
Structural Relational Reasoning of Point Clouds0
Neural Markov Logic Networks0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
An Explicitly Relational Neural Network ArchitectureCode0
Neural-Symbolic Argumentation Mining: an Argument in Favor of Deep Learning and Reasoning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99Unverified