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 51–100 of 483 papers

TitleStatusHype
Logic Tensor NetworksCode1
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Self-Supervised Time Series Representation Learning by Inter-Intra Relational ReasoningCode1
Play Fair: Frame Attributions in Video ModelsCode1
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
Scale-Localized Abstract ReasoningCode1
Visual Relationship Detection with Visual-Linguistic Knowledge from Multimodal RepresentationsCode1
Learning from Protein Structure with Geometric Vector PerceptronsCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational LearningCode1
Graph-Based Social Relation ReasoningCode1
Beyond Graph Neural Networks with Lifted Relational Neural NetworksCode1
Learning Reasoning Strategies in End-to-End Differentiable ProvingCode1
Generative 3D Part Assembly via Dynamic Graph LearningCode1
Self-Supervised Relational Reasoning for Representation LearningCode1
Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionCode1
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question AnsweringCode1
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational ReasoningCode1
Deep Relational Reasoning Graph Network for Arbitrary Shape Text DetectionCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
Better Set Representations For Relational ReasoningCode1
Self-Attentive Associative MemoryCode1
Generative Adversarial Zero-Shot Relational Learning for Knowledge GraphsCode1
Quantum Embedding of Knowledge for ReasoningCode1
Inductive Relation Prediction by Subgraph ReasoningCode1
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image InterpretationCode1
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from TextCode1
Neural Logic MachinesCode1
Fast Graph Representation Learning with PyTorch GeometricCode1
Relational inductive biases, deep learning, and graph networksCode1
Semi-Supervised Online Structure Learning for Composite Event RecognitionCode1
OSL𝛼: Online Structure Learning Using Background Knowledge AxiomatizationCode1
FreeQ-Graph: Free-form Querying with Semantic Consistent Scene Graph for 3D Scene Understandingβ€”0
LogiPlan: A Structured Benchmark for Logical Planning and Relational Reasoning in LLMsβ€”0
Differentially Private Relational Learning with Entity-level Privacy GuaranteesCode0
Relational reasoning and inductive bias in transformers trained on a transitive inference taskβ€”0
ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Modelsβ€”0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
MIRAGE: A Multi-modal Benchmark for Spatial Perception, Reasoning, and Intelligenceβ€”0
Arbitrarily Applicable Same/Opposite Relational Responding with NARSβ€”0
Boosting Neural Language Inference via Cascaded Interactive Reasoningβ€”0
AS3D: 2D-Assisted Cross-Modal Understanding with Semantic-Spatial Scene Graphs for 3D Visual GroundingCode0
ReGraP-LLaVA: Reasoning enabled Graph-based Personalized Large Language and Vision AssistantCode0
VTS-LLM: Domain-Adaptive LLM Agent for Enhancing Awareness in Vessel Traffic Services through Natural LanguageCode0
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature LearningCode0
Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Modelsβ€”0
Graph-to-Vision: Multi-graph Understanding and Reasoning using Vision-Language Modelsβ€”0
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation TriadCode0
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoningβ€”0
Generalization of CNNs on Relational Reasoning with Bar ChartsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99β€”Unverified