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 351–375 of 483 papers

TitleStatusHype
GMNN: Graph Markov Neural NetworksCode0
Learning Generative Models across Incomparable Spaces—0
The relational processing limits of classic and contemporary neural network models of language processingCode0
Language-Conditioned Graph Networks for Relational ReasoningCode0
Improving Composition of Sentence Embeddings through the Lens of Statistical Relational Learning—0
Deep reinforcement learning with relational inductive biases—0
Object-Oriented Model Learning through Multi-Level Abstraction—0
Object-Oriented Dynamics Learning through Multi-Level AbstractionCode0
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes—0
Relational Reasoning Network (RRN) for Anatomical Landmarking—0
Composition of Sentence Embeddings:Lessons from Statistical Relational Learning—0
Learning Relational Representations with Auto-encoding Logic Programs—0
Multi-Label Network Classification via Weighted Personalized Factorizations—0
MUREL: Multimodal Relational Reasoning for Visual Question AnsweringCode0
Variational Quantum Circuit Model for Knowledge Graphs Embedding—0
Graph Neural Networks with Generated Parameters for Relation ExtractionCode0
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learningCode0
Spatial Knowledge Distillation to aid Visual Reasoning—0
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations—0
Chain of Reasoning for Visual Question Answering—0
Graph-Based Global Reasoning NetworksCode0
Efficient Coarse-to-Fine Non-Local Module for the Detection of Small Objects—0
A Concept-Centered Hypertext Approach to Case-Based Retrieval—0
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations—0
Compositional Language Understanding with Text-based Relational ReasoningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified