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 101–150 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
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes—0
Shifting the Human-AI Relationship: Toward a Dynamic Relational Learning-Partner Model—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
Behavior-Inspired Neural Networks for Relational Inference—0
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos—0
Few-shot Knowledge Graph Relational Reasoning via Subgraph AdaptationCode0
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective—0
Learning positional encodings in transformers depends on initialization—0
Disentangling and Integrating Relational and Sensory Information in Transformer ArchitecturesCode0
Zero-Shot Relational Learning for Multimodal Knowledge GraphsCode0
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image GenerationCode0
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models—0
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents—0
SeCG: Semantic-Enhanced 3D Visual Grounding via Cross-modal Graph AttentionCode0
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation—0
Boosting gets full Attention for Relational Learning—0
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition ApproachCode0
FGeo-HyperGNet: Geometric Problem Solving Integrating Formal Symbolic System and Hypergraph Neural Network—0
Position: Topological Deep Learning is the New Frontier for Relational Learning—0
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation—0
LLMs for Relational Reasoning: How Far are We?—0
MLAD: A Unified Model for Multi-system Log Anomaly Detection—0
Higher-order Relational Reasoning for Pedestrian Trajectory Prediction—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
When can transformers reason with abstract symbols?Code0
Associative TransformerCode0
A Novel Neural-symbolic System under Statistical Relational Learning—0
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified