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
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Modularized Zero-shot VQA with Pre-trained ModelsCode0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Benchmarking and Understanding Compositional Relational Reasoning of LLMsCode0
Mandolin: A Knowledge Discovery Framework for the Web of DataCode0
Logic Tensor Networks for Semantic Image InterpretationCode0
Beyond the Doors of Perception: Vision Transformers Represent Relations Between ObjectsCode0
Mapping Natural Language Commands to Web ElementsCode0
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational LearningCode0
LightPath: Lightweight and Scalable Path Representation LearningCode0
Lifted Inference beyond First-Order LogicCode0
On Inductive Abilities of Latent Factor Models for Relational LearningCode0
Disentangling and Integrating Relational and Sensory Information in Transformer ArchitecturesCode0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
Leveraging Relational Information for Learning Weakly Disentangled RepresentationsCode0
Distributed Associative Memory Network with Memory Refreshing LossCode0
Lifted Relational Neural NetworksCode0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
One-Shot Relational Learning for Knowledge GraphsCode0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
Recurrent Relational Networks for complex relational reasoningCode0
Coresets for Relational Data and The ApplicationsCode0
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQACode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified