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 1–50 of 483 papers

TitleStatusHype
Visual Causal Scene Refinement for Video Question AnsweringCode3
Complex Embeddings for Simple Link PredictionCode2
MolTC: Towards Molecular Relational Modeling In Language ModelsCode2
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of ThoughtCode2
Graph-Aware Isomorphic Attention for Adaptive Dynamics in TransformersCode2
Your Diffusion Model is Secretly a Zero-Shot ClassifierCode2
A Survey on Knowledge Graphs: Representation, Acquisition and ApplicationsCode2
OSL𝛼: Online Structure Learning Using Background Knowledge AxiomatizationCode1
Logic Tensor NetworksCode1
Pix2Code: Learning to Compose Neural Visual Concepts as ProgramsCode1
Learning from Protein Structure with Geometric Vector PerceptronsCode1
Learning to Reason Deductively: Math Word Problem Solving as Complex Relation ExtractionCode1
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational ReasoningCode1
Neural Logic MachinesCode1
GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural NetworksCode1
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational ReasoningCode1
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational ReasoningCode1
Fast Graph Representation Learning with PyTorch GeometricCode1
Few-shot Relational Reasoning via Connection Subgraph PretrainingCode1
Generative Adversarial Zero-Shot Relational Learning for Knowledge GraphsCode1
Graph-Based Social Relation ReasoningCode1
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response SelectionCode1
Large Language Models can Learn RulesCode1
Learning Reasoning Strategies in End-to-End Differentiable ProvingCode1
Learning Symbolic Operators for Task and Motion PlanningCode1
3D Interaction Geometric Pre-training for Molecular Relational LearningCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
MLPs Learn In-Context on Regression and Classification TasksCode1
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act RecognitionCode1
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question AnsweringCode1
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning AssistanceCode1
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only ModalityCode1
Conditional Graph Information Bottleneck for Molecular Relational LearningCode1
Beyond Graph Neural Networks with Lifted Relational Neural NetworksCode1
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question AnsweringCode1
Deep Relational Reasoning Graph Network for Arbitrary Shape Text DetectionCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image InterpretationCode1
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from TextCode1
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in TransformersCode1
Generative 3D Part Assembly via Dynamic Graph LearningCode1
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
CORE-Text: Improving Scene Text Detection with Contrastive Relational ReasoningCode1
Inductive Relation Prediction by BERTCode1
Inductive Relation Prediction by Subgraph ReasoningCode1
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
Enhancing the Utility of Higher-Order Information in Relational LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified