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 2650 of 483 papers

TitleStatusHype
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 Hops0.99Unverified