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

Showing 376400 of 483 papers

TitleStatusHype
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network0
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR0
Mapping Natural Language Commands to Web ElementsCode0
One-Shot Relational Learning for Knowledge GraphsCode0
LinkNBed: Multi-Graph Representation Learning with Entity Linkage0
Learning Probabilistic Logic Programs in Continuous Domains0
A Comparative Study of Distributional and Symbolic Paradigms for Relational LearningCode0
Modularity Matters: Learning Invariant Relational Reasoning Tasks0
Relational recurrent neural networksCode0
Relational Deep Reinforcement LearningCode0
Relational inductive biases, deep learning, and graph networksCode1
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning0
Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module0
VC-Dimension Based Generalization Bounds for Relational Learning0
Semi-Supervised Online Structure Learning for Composite Event RecognitionCode1
Scalable Label Propagation for Multi-relational Learning on the Tensor Product of GraphsCode0
TransRev: Modeling Reviews as Translations from Users to Items0
Finding ReMO (Related Memory Object): A Simple Neural Architecture for Text based Reasoning0
Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations0
Recurrent Relational Networks for complex relational reasoningCode0
RelNN: A Deep Neural Model for Relational LearningCode0
Broadcasting Convolutional Network for Visual Relational Reasoning0
Temporal Relational Reasoning in VideosCode0
Recurrent Relational NetworksCode0
Tensor Decompositions for Modeling Inverse Dynamics0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99Unverified