SOTAVerified|Agents Browse Leaderboard About

Entity Embeddings

Entity Embeddings is a technique for applying deep learning to tabular data. It involves representing the categorical data of an information systems entity with multiple dimensions.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 11–20 of 151 papers

Title	Date	Tasks	Status	Hype
Complex Temporal Question Answering on Knowledge Graphs	Sep 18, 2021	16kEntity Embeddings	CodeCode Available	1
Message Passing Query Embedding	Feb 6, 2020	Entity EmbeddingsGraph Neural Network	CodeCode Available	1
AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models	Jul 18, 2023	Entity AlignmentEntity Embeddings	CodeCode Available	1
Contextual Parameter Generation for Knowledge Graph Link Prediction	Apr 3, 2020	Entity EmbeddingsLink Prediction	CodeCode Available	1
BioBLP: A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs	Jun 6, 2023	AttributeEntity Embeddings	CodeCode Available	1
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation	Mar 17, 2022	Entity EmbeddingsFederated Learning	CodeCode Available	1
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding	Feb 3, 2023	Entity EmbeddingsGraph Embedding	CodeCode Available	1
Entity-aware Transformers for Entity Search	May 2, 2022	Entity EmbeddingsEntity Retrieval	CodeCode Available	1
ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities	May 20, 2022	Entity AlignmentEntity Embeddings	CodeCode Available	1
Highly Efficient Knowledge Graph Embedding Learning with Orthogonal Procrustes Analysis	Apr 10, 2021	Entity EmbeddingsGraph Embedding	CodeCode Available	1

Show:10 25 50

← PrevPage 2 of 16Next →

No leaderboard results yet.