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

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Showing 51–100 of 483 papers

TitleStatusHype
Pix2Code: Learning to Compose Neural Visual Concepts as ProgramsCode1
Beyond Graph Neural Networks with Lifted Relational Neural NetworksCode1
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act RecognitionCode1
Cross-Modal Causal Relational Reasoning for Event-Level Visual Question AnsweringCode1
3D Interaction Geometric Pre-training for Molecular Relational LearningCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
Better Set Representations For Relational ReasoningCode1
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational ReasoningCode1
Deep Relational Reasoning Graph Network for Arbitrary Shape Text DetectionCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
MLPs Learn In-Context on Regression and Classification TasksCode1
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in TransformersCode1
Generative 3D Part Assembly via Dynamic Graph LearningCode1
Play Fair: Frame Attributions in Video ModelsCode1
OSL𝛼: Online Structure Learning Using Background Knowledge AxiomatizationCode1
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from TextCode1
EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question AnsweringCode1
Dynamic-Group-Aware Networks for Multi-Agent Trajectory Prediction with Relational ReasoningCode1
Enhancing the Utility of Higher-Order Information in Relational LearningCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
Fast Graph Representation Learning with PyTorch GeometricCode1
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image InterpretationCode1
Redundancy-Free Self-Supervised Relational Learning for Graph ClusteringCode1
Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionCode1
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only ModalityCode1
RLIPv2: Fast Scaling of Relational Language-Image Pre-trainingCode1
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph CompletionCode1
Visual Abstract Thinking Empowers Multimodal ReasoningCode1
Generative Adversarial Zero-Shot Relational Learning for Knowledge GraphsCode1
Computer-aided Tuberculosis Diagnosis with Attribute Reasoning AssistanceCode1
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational ReasoningCode1
Modeling Content and Context with Deep Relational LearningCode0
Modularized Zero-shot VQA with Pre-trained ModelsCode0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph TransformersCode0
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
Mandolin: A Knowledge Discovery Framework for the Web of DataCode0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
Mapping Natural Language Commands to Web ElementsCode0
MUREL: Multimodal Relational Reasoning for Visual Question AnsweringCode0
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational LearningCode0
Beyond the Doors of Perception: Vision Transformers Represent Relations Between ObjectsCode0
LightPath: Lightweight and Scalable Path Representation LearningCode0
An Explicitly Relational Neural Network ArchitectureCode0
Lifted Inference beyond First-Order LogicCode0
Benchmarking and Understanding Compositional Relational Reasoning of LLMsCode0
Learning the meanings of function words from grounded language using a visual question answering modelCode0
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified