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 326–350 of 483 papers

TitleStatusHype
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction—0
TransRev: Modeling Reviews as Translations from Users to Items—0
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models—0
Understanding the Complexity of Lifted Inference and Asymmetric Weighted Model Counting—0
Unified Graph Structured Models for Video Understanding—0
User Profiling Using Hinge-loss Markov Random Fields—0
Variational Deep Logic Network for Joint Inference of Entities and Relations—0
Variational Quantum Circuit Model for Knowledge Graphs Embedding—0
VC-Dimension Based Generalization Bounds for Relational Learning—0
Visual-Linguistic Agent: Towards Collaborative Contextual Object Reasoning—0
V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning—0
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping—0
Weighted First Order Model Counting with Directed Acyclic Graph Axioms—0
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module—0
Lifted Inference with Linear Order Axiom—0
Lifted Relational Neural Networks—0
Lifted Symmetry Detection and Breaking for MAP Inference—0
LinkNBed: Multi-Graph Representation Learning with Entity Linkage—0
LLMs for Relational Reasoning: How Far are We?—0
Locally Boosted Graph Aggregation for Community Detection—0
Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection—0
Logistic Tensor Factorization for Multi-Relational Data—0
Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning—0
Matrix and Tensor Factorization Methods for Natural Language Processing—0
Medical Image Analysis using Deep Relational Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified