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 351–375 of 483 papers

TitleStatusHype
Cluster Flow: how a hierarchical clustering layer make allows deep-NNs more resilient to hacking, more human-like and easily implements relational reasoning—0
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation—0
Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs—0
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems—0
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models—0
Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text—0
Composition of Sentence Embeddings: Lessons from Statistical Relational Learning—0
Composition of Sentence Embeddings:Lessons from Statistical Relational Learning—0
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning—0
Concept Representation Learning with Contrastive Self-Supervised Learning—0
Conditional Hybrid GAN for Sequence Generation—0
Constellation: Learning relational abstractions over objects for compositional imagination—0
Construction and Elicitation of a Black Box Model in the Game of Bridge—0
Content+Context=Classification: Examining the Roles of Social Interactions and Linguist Content in Twitter User Classification—0
Context Aware Group Activity Recognition—0
Continual Reasoning: Non-Monotonic Reasoning in Neurosymbolic AI using Continual Learning—0
Contrastive Feature Induction for Efficient Structure Learning of Conditional Random Fields—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—0
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning—0
Cross-Graph Learning of Multi-Relational Associations—0
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts—0
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation—0
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension—0
Deep Learning for Ontology Reasoning—0
Deep reinforcement learning with relational inductive biases—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified