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 201–250 of 483 papers

TitleStatusHype
Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models—0
Position: Topological Deep Learning is the New Frontier for Relational Learning—0
Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields—0
Post-Proceedings of the First International Workshop on Learning and Nonmonotonic Reasoning—0
Pre and Post Counting for Scalable Statistical-Relational Model Discovery—0
Propagating Over Phrase Relations for One-Stage Visual Grounding—0
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis—0
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness—0
Ranking relations using analogies in biological and information networks—0
Reading The Web with Learned Syntactic-Semantic Inference Rules—0
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical—0
Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning—0
Recent Advances in Heterogeneous Relation Learning for Recommendation—0
Recurrent Relational Memory Network for Unsupervised Image Captioning—0
Recursive Neural Networks Can Learn Logical Semantics—0
Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning—0
Relational Algorithms for k-means Clustering—0
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction—0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding—0
Relational Learning and Feature Extraction by Querying over Heterogeneous Information Networks—0
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers—0
Relational Learning for Skill Preconditions—0
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective—0
Relational Learning with Variational Bayes—0
Relational Mimic for Visual Adversarial Imitation Learning—0
Relational Neural Markov Random Fields—0
Relational Reasoning Network (RRN) for Anatomical Landmarking—0
Behavior-Inspired Neural Networks for Relational Inference—0
Relational Reasoning Over Spatial-Temporal Graphs for Video Summarization—0
Relational Reasoning using Prior Knowledge for Visual Captioning—0
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL—0
Relational Similarity Machines—0
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection—0
RelEx: A Model-Agnostic Relational Model Explainer—0
RelNet: End-to-End Modeling of Entities & Relations—0
RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations—0
Representational Alignment with Chemical Induced Fit for Molecular Relational Learning—0
Retrieval-based Knowledge Augmented Vision Language Pre-training—0
ReVoLT: Relational Reasoning and Voronoi Local Graph Planning for Target-driven Navigation—0
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations—0
Sampling Community Structure—0
SARN: Relational Reasoning through Sequential Attention—0
Scalable Statistical Relational Learning for NLP—0
Schema Independent Relational Learning—0
SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction—0
Search Space Properties for Learning a Class of Constraint-based Grammars—0
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos—0
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction—0
Shifting the Human-AI Relationship: Toward a Dynamic Relational Learning-Partner Model—0
Skeleton-based Relational Reasoning for Group Activity Analysis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified