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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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 161–170 of 483 papers

Title	Date	Tasks	Status	Hype	Score
Interpretable preference learning: a game theoretic framework for large margin on-line feature and rule learning	Dec 19, 2018	feature selectionRelational Reasoning	CodeCode Available	0	5
Knowledge Graph Completion via Complex Tensor Factorization	Feb 22, 2017	Knowledge Graph CompletionKnowledge Graphs	CodeCode Available	0	5
Identifying Morality Frames in Political Tweets using Relational Learning	Sep 9, 2021	Relational Reasoning	CodeCode Available	0	5
Graph-Based Global Reasoning Networks	Nov 30, 2018	Action ClassificationAction Recognition	CodeCode Available	0	5
Differentially Private Relational Learning with Entity-level Privacy Guarantees	Jun 10, 2025	Relational ReasoningSensitivity	CodeCode Available	0	5
Graph Based Relational Features for Collective Classification	Feb 9, 2017	ClassificationGeneral Classification	CodeCode Available	0	5
In-Context Analogical Reasoning with Pre-Trained Language Models	May 28, 2023	In-Context LearningRelational Reasoning	CodeCode Available	0	5
Generalization of CNNs on Relational Reasoning with Bar Charts	Feb 28, 2025	Relational Reasoning	CodeCode Available	0	5
Graph Neural Networks with Generated Parameters for Relation Extraction	Feb 2, 2019	RelationRelational Reasoning	CodeCode Available	0	5
Holographic Embeddings of Knowledge Graphs	Oct 16, 2015	Knowledge GraphsLink Prediction	CodeCode Available	0	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CTP A	4 Hops	0.99	—	Unverified