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 76–100 of 483 papers

TitleStatusHype
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