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 226–250 of 483 papers

TitleStatusHype
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
Learning to Solve NLP Tasks in an Incremental Number of Languages—0
Probing Cross-Modal Representations in Multi-Step Relational ReasoningCode0
Multi-Scale Progressive Attention Network for Video Question Answering—0
Constellation: Learning relational abstractions over objects for compositional imagination—0
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
Relational Reasoning Networks—0
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network—0
Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory—0
Complementary Structure-Learning Neural Networks for Relational ReasoningCode0
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning—0
Agent-Centric Representations for Multi-Agent Reinforcement Learning—0
Object-Centric Representation Learning for Video Question Answering—0
Unified Graph Structured Models for Video Understanding—0
Graph-based Facial Affect Analysis: A Review—0
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQACode0
A Relational-learning Perspective to Multi-label Chest X-ray Classification—0
A Universal Model for Cross Modality Mapping by Relational Reasoning—0
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking—0
A Statistical Relational Approach to Learning Distance-based GCNs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified