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 276300 of 483 papers

TitleStatusHype
Relational Algorithms for k-means Clustering0
Propagating Over Phrase Relations for One-Stage Visual Grounding0
Distributed Associative Memory Network with Memory Refreshing LossCode0
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs0
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction0
Recurrent Relational Memory Network for Unsupervised Image Captioning0
A Study of Compositional Generalization in Neural Models0
Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds0
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite Domains0
Relational reasoning and generalization using non-symbolic neural networksCode0
Explaining Local, Global, And Higher-Order Interactions In Deep LearningCode0
Propositionalization and Embeddings: Two Sides of the Same CoinCode0
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding0
Randomly Weighted, Untrained Neural Tensor Networks Achieve Greater Relational Expressiveness0
RelEx: A Model-Agnostic Relational Model Explainer0
Hyperbolic Manifold Regression0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation0
Sampling Community Structure0
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases0
Construction and Elicitation of a Black Box Model in the Game of Bridge0
A Complete Characterization of Projectivity for Statistical Relational Models0
Graph-based Kinship Reasoning Network0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework0
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers0
Causal Relational Learning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99Unverified