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
Prototypical Representation Learning for Relation ExtractionCode1
OSL𝛼: Online Structure Learning Using Background Knowledge AxiomatizationCode1
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
Deep Relational Reasoning Graph Network for Arbitrary Shape Text DetectionCode1
Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational ReasoningCode1
LowFER: Low-rank Bilinear Pooling for Link PredictionCode1
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
Inductive Relation Prediction by BERTCode1
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in TransformersCode1
MLPs Learn In-Context on Regression and Classification TasksCode1
Generative 3D Part Assembly via Dynamic Graph LearningCode1
Pix2Code: Learning to Compose Neural Visual Concepts as ProgramsCode1
Neural Logic MachinesCode1
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
Reconstructing Groups of People with Hypergraph Relational ReasoningCode1
Quantum Embedding of Knowledge for ReasoningCode1
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only ModalityCode1
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
Relational inductive biases, deep learning, and graph networksCode1
Video Dialog as Conversation about Objects Living in Space-TimeCode1
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
Meta Relational Learning for Few-Shot Link Prediction in Knowledge GraphsCode0
Modeling Content and Context with Deep Relational LearningCode0
Mapping Natural Language Commands to Web ElementsCode0
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph TransformersCode0
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge GraphsCode0
Modularized Zero-shot VQA with Pre-trained ModelsCode0
Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-trainingCode0
Breakpoint Transformers for Modeling and Tracking Intermediate BeliefsCode0
Logic Tensor Networks for Semantic Image InterpretationCode0
Mandolin: A Knowledge Discovery Framework for the Web of DataCode0
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
Lifted Relational Neural NetworksCode0
An Explicitly Relational Neural Network ArchitectureCode0
Lifted Inference beyond First-Order LogicCode0
LightPath: Lightweight and Scalable Path Representation LearningCode0
Benchmarking and Understanding Compositional Relational Reasoning of LLMsCode0
Learning the meanings of function words from grounded language using a visual question answering modelCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified