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 176–200 of 483 papers

TitleStatusHype
Topological Relational Learning on GraphsCode1
RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing ImagesCode1
HR-RCNN: Hierarchical Relational Reasoning for Object Detection—0
Pre and Post Counting for Scalable Statistical-Relational Model Discovery—0
Relational Neural Markov Random Fields—0
Propagation on Multi-relational Graphs for Node RegressionCode0
Recent Advances in Heterogeneous Relation Learning for Recommendation—0
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph RepresentationsCode1
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational LearningCode0
Identifying Morality Frames in Political Tweets using Relational LearningCode0
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical—0
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning—0
Probing Cross-Modal Representations in Multi-Step Relational ReasoningCode0
Learning to Solve NLP Tasks in an Incremental Number of Languages—0
Multi-Scale Progressive Attention Network for Video Question Answering—0
Constellation: Learning relational abstractions over objects for compositional imagination—0
DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question AnsweringCode1
Relational VAE: A Continuous Latent Variable Model for Graph Structured DataCode1
A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning—0
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions—0
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition—0
Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory—0
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network—0
Relational Reasoning Networks—0
Complementary Structure-Learning Neural Networks for Relational ReasoningCode0
Show:102550
← PrevPage 8 of 20Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified