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 461–470 of 483 papers

TitleStatusHype
How to construct a multi-lingual domain ontology—0
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic—0
Inductive Logic Boosting—0
Hybrid SRL with Optimization Modulo Theories—0
A Boosting Approach to Learning Graph Representations—0
Post-Proceedings of the First International Workshop on Learning and Nonmonotonic Reasoning—0
Ensemble Relational Learning based on Selective Propositionalization—0
Logistic Tensor Factorization for Multi-Relational Data—0
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss—0
A Semantic Matching Energy Function for Learning with Multi-relational Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CTP A4 Hops0.99—Unverified