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 376–400 of 483 papers

TitleStatusHype
Multi-layer Relation Networks—0
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data—0
Dilated DenseNets for Relational Reasoning—0
SARN: Relational Reasoning through Sequential Attention—0
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network—0
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR—0
Mapping Natural Language Commands to Web ElementsCode0
One-Shot Relational Learning for Knowledge GraphsCode0
LinkNBed: Multi-Graph Representation Learning with Entity Linkage—0
Learning Probabilistic Logic Programs in Continuous Domains—0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Modularity Matters: Learning Invariant Relational Reasoning Tasks—0
Relational Deep Reinforcement LearningCode0
Relational recurrent neural networksCode0
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning—0
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module—0
VC-Dimension Based Generalization Bounds for Relational Learning—0
Scalable Label Propagation for Multi-relational Learning on the Tensor Product of GraphsCode0
TransRev: Modeling Reviews as Translations from Users to Items—0
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning—0
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations—0
Recurrent Relational Networks for complex relational reasoningCode0
Broadcasting Convolutional Network for Visual Relational Reasoning—0
RelNN: A Deep Neural Model for Relational LearningCode0
Temporal Relational Reasoning in VideosCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified