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 421–430 of 483 papers

TitleStatusHype
Demystifying Relational Latent Representations—0
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge GraphsCode0
Knowledge Graph Completion via Complex Tensor FactorizationCode0
Graph Based Relational Features for Collective ClassificationCode0
Introducing DRAIL -- a Step Towards Declarative Deep Relational Learning—0
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping—0
Discriminative Gaifman Models—0
Multiple protein feature prediction with statistical relational learning—0
Column Networks for Collective ClassificationCode0
Relational Similarity Machines—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified