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
Unraveling the geometry of visual relational reasoningCode0
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning—0
Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning—0
Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models—0
Explicit Relational Reasoning Network for Scene Text Detection—0
Benchmarking and Understanding Compositional Relational Reasoning of LLMsCode0
Text-Guided Coarse-to-Fine Fusion Network for Robust Remote Sensing Visual Question Answering—0
Financial Risk Assessment via Long-term Payment Behavior Sequence Folding—0
Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning—0
RESOLVE: Relational Reasoning with Symbolic and Object-Level Features Using Vector Symbolic ProcessingCode0
Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields—0
Two pathways to resolve relational inconsistencies—0
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational LearningCode0
SOLD: Slot Object-Centric Latent Dynamics Models for Relational Manipulation Learning from Pixels—0
Privately Learning from Graphs with Applications in Fine-tuning Large Language ModelsCode0
Shifting the Human-AI Relationship: Toward a Dynamic Relational Learning-Partner Model—0
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes—0
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational ReasoningCode0
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning—0
Spatiotemporal Covariance Neural NetworksCode0
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials—0
A Modern Take on Visual Relationship Reasoning for Grasp Planning—0
Genesis: Towards the Automation of Systems Biology Research—0
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation—0
Beyond the Doors of Perception: Vision Transformers Represent Relations Between ObjectsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified