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

Showing 150 of 483 papers

TitleStatusHype
Visual Causal Scene Refinement for Video Question AnsweringCode3
From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of ThoughtCode2
MolTC: Towards Molecular Relational Modeling In Language ModelsCode2
Graph-Aware Isomorphic Attention for Adaptive Dynamics in TransformersCode2
A Survey on Knowledge Graphs: Representation, Acquisition and ApplicationsCode2
Your Diffusion Model is Secretly a Zero-Shot ClassifierCode2
Complex Embeddings for Simple Link PredictionCode2
OSL𝛼: Online Structure Learning Using Background Knowledge AxiomatizationCode1
MLPs Learn In-Context on Regression and Classification TasksCode1
Pix2Code: Learning to Compose Neural Visual Concepts as ProgramsCode1
Logic Tensor NetworksCode1
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational ReasoningCode1
Few-shot Relational Reasoning via Connection Subgraph PretrainingCode1
Neural Logic MachinesCode1
Learning Reasoning Strategies in End-to-End Differentiable ProvingCode1
Large Language Models can Learn RulesCode1
Learning Symbolic Operators for Task and Motion PlanningCode1
Heterogeneous Graph Contrastive Learning for RecommendationCode1
Deep Relational Reasoning Graph Network for Arbitrary Shape Text DetectionCode1
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response SelectionCode1
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act RecognitionCode1
Learning from Protein Structure with Geometric Vector PerceptronsCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational ReasoningCode1
Enhancing the Utility of Higher-Order Information in Relational LearningCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
3D Interaction Geometric Pre-training for Molecular Relational LearningCode1
Evaluating Logical Generalization in Graph Neural NetworksCode1
Graph-Based Social Relation ReasoningCode1
Fast Graph Representation Learning with PyTorch GeometricCode1
Inductive Relation Prediction by BERTCode1
Generative 3D Part Assembly via Dynamic Graph LearningCode1
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Generative Adversarial Zero-Shot Relational Learning for Knowledge GraphsCode1
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image InterpretationCode1
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from TextCode1
GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural NetworksCode1
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational ReasoningCode1
Beyond Graph Neural Networks with Lifted Relational Neural NetworksCode1
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning AssistanceCode1
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only ModalityCode1
Global-Reasoned Multi-Task Learning Model for Surgical Scene UnderstandingCode1
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in TransformersCode1
Conditional Graph Information Bottleneck for Molecular Relational LearningCode1
CORE-Text: Improving Scene Text Detection with Contrastive Relational ReasoningCode1
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question AnsweringCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question AnsweringCode1
BayReL: Bayesian Relational Learning for Multi-omics Data IntegrationCode1
Inductive Relation Prediction by Subgraph ReasoningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99Unverified