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 121–130 of 151 papers

Title	Date	Tasks	Status
Word Embeddings for Entity-annotated Texts	Feb 6, 2019	ClusteringEntity Embeddings	CodeCode Available
Multi-relational Poincaré Graph Embeddings	May 23, 2019	Entity EmbeddingsKnowledge Graphs	CodeCode Available
Named Entity Disambiguation for Noisy Text	Jun 28, 2017	Entity DisambiguationEntity Embeddings	CodeCode Available
Embedding-Based Entity Alignment Using Relation Structural Similarity	Sep 11, 2022	Entity AlignmentEntity Embeddings	CodeCode Available
Aligning Cross-Lingual Entities with Multi-Aspect Information	Oct 15, 2019	Entity AlignmentEntity Embeddings	CodeCode Available
Incorporating Literals into Knowledge Graph Embeddings	Feb 3, 2018	Entity EmbeddingsKnowledge Graph Embeddings	CodeCode Available
ELDEN: Improved Entity Linking Using Densified Knowledge Graphs	Jun 1, 2018	Entity DisambiguationEntity Embeddings	CodeCode Available
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks	Dec 16, 2023	Entity EmbeddingsInductive Link Prediction	CodeCode Available
Inductive Logical Query Answering in Knowledge Graphs	Oct 13, 2022	Complex Query AnsweringEntity Embeddings	CodeCode Available
Informed Multi-context Entity Alignment	Jan 2, 2022	Entity AlignmentEntity Embeddings	CodeCode Available

Show:10 25 50

← PrevPage 13 of 16Next →

No leaderboard results yet.